From 2e5e99a69843b6ebc74ebdbae0bc55cf2f16b68f Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 03:51:41 +0530 Subject: [PATCH 01/18] Update requirements.txt --- requirements.txt | 3 --- 1 file changed, 3 deletions(-) diff --git a/requirements.txt b/requirements.txt index 8cf29b82..608bd513 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,3 @@ -torch==1.13.1 -torchvision==0.14.1 -torchaudio==0.13.1 mmcv==1.6.0 matplotlib argparse From bfee7fb591f985f0684589abf1c2e5212f153638 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 03:59:16 +0530 Subject: [PATCH 02/18] Update train.py --- train.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index 13f9e51e..2e273760 100644 --- a/train.py +++ b/train.py @@ -202,7 +202,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i # if opt.lambda_lpips !=0: # lpipsloss = lpips_loss(image_tensor,gt_image_tensor,lpips_model) # loss += opt.lambda_lpips * lpipsloss - + loss.backward() if torch.isnan(loss).any(): print("loss is nan,end training, reexecv program now.") @@ -337,6 +337,8 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i if config['cameras'] and len(config['cameras']) > 0: l1_test = 0.0 psnr_test = 0.0 + ssim_test = 0.0 + lpips_test = 0.0 for idx, viewpoint in enumerate(config['cameras']): image = torch.clamp(renderFunc(viewpoint, scene.gaussians,stage=stage, cam_type=dataset_type, *renderArgs)["render"], 0.0, 1.0) if dataset_type == "PanopticSports": @@ -352,11 +354,16 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i pass l1_test += l1_loss(image, gt_image).mean().double() # mask=viewpoint.mask + + lpips_test += lpips_loss(image_tensor,gt_image_tensor,lpips_model) + + ssim_test += ssim(image_tensor,gt_image_tensor) psnr_test += psnr(image, gt_image, mask=None).mean().double() + psnr_test /= len(config['cameras']) l1_test /= len(config['cameras']) - print("\n[ITER {}] Evaluating {}: L1 {} PSNR {}".format(iteration, config['name'], l1_test, psnr_test)) + print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPS {}".format(iteration, config['name'], l1_test, psnr_test, ssim_test, lpips_test)) # print("sh feature",scene.gaussians.get_features.shape) if tb_writer: tb_writer.add_scalar(stage + "/"+config['name'] + '/loss_viewpoint - l1_loss', l1_test, iteration) From 2fb3433bf63514028d7f40ad34eff6b24c3aa620 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 04:11:02 +0530 Subject: [PATCH 03/18] Update train.py --- train.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index 2e273760..f227ae61 100644 --- a/train.py +++ b/train.py @@ -355,9 +355,9 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i l1_test += l1_loss(image, gt_image).mean().double() # mask=viewpoint.mask - lpips_test += lpips_loss(image_tensor,gt_image_tensor,lpips_model) + lpips_test += lpips_loss(image,gt_image,lpips_model) - ssim_test += ssim(image_tensor,gt_image_tensor) + ssim_test += ssim(image,gt_image) psnr_test += psnr(image, gt_image, mask=None).mean().double() From 5ff5c58b5ea0db464021cc35923748346034eb6e Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 04:18:12 +0530 Subject: [PATCH 04/18] Update train.py --- train.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/train.py b/train.py index f227ae61..acae1413 100644 --- a/train.py +++ b/train.py @@ -69,7 +69,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i progress_bar = tqdm(range(first_iter, final_iter), desc="Training progress") first_iter += 1 - # lpips_model = lpips.LPIPS(net="alex").cuda() + lpips_model = lpips.LPIPS(net="alex").cuda() video_cams = scene.getVideoCameras() test_cams = scene.getTestCameras() train_cams = scene.getTrainCameras() From e1db663b8876449527fb0a42020b07c90b52e873 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 04:33:58 +0530 Subject: [PATCH 05/18] Update train.py --- train.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index acae1413..a74811b4 100644 --- a/train.py +++ b/train.py @@ -227,7 +227,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i # Log and save timer.pause() - training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, scene, render, [pipe, background], stage, scene.dataset_type) + training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, scene, render, [pipe, background], stage, scene.dataset_type) if (iteration in saving_iterations): print("\n[ITER {}] Saving Gaussians".format(iteration)) scene.save(iteration, stage) @@ -319,7 +319,7 @@ def prepare_output_and_logger(expname): print("Tensorboard not available: not logging progress") return tb_writer -def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, scene : Scene, renderFunc, renderArgs, stage, dataset_type): +def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, scene : Scene, renderFunc, renderArgs, stage, dataset_type): if tb_writer: tb_writer.add_scalar(f'{stage}/train_loss_patches/l1_loss', Ll1.item(), iteration) tb_writer.add_scalar(f'{stage}/train_loss_patchestotal_loss', loss.item(), iteration) From c1731dcd48a48907985b0f26b9b34c6d135a14ad Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 07:04:09 +0530 Subject: [PATCH 06/18] Update train.py --- train.py | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/train.py b/train.py index a74811b4..704060da 100644 --- a/train.py +++ b/train.py @@ -70,6 +70,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i progress_bar = tqdm(range(first_iter, final_iter), desc="Training progress") first_iter += 1 lpips_model = lpips.LPIPS(net="alex").cuda() + lpips_model2 = lpips.LPIPS(net="vgg").cuda() video_cams = scene.getVideoCameras() test_cams = scene.getTestCameras() train_cams = scene.getTrainCameras() @@ -227,7 +228,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i # Log and save timer.pause() - training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, scene, render, [pipe, background], stage, scene.dataset_type) + training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, lpips_model2, scene, render, [pipe, background], stage, scene.dataset_type) if (iteration in saving_iterations): print("\n[ITER {}] Saving Gaussians".format(iteration)) scene.save(iteration, stage) @@ -319,7 +320,7 @@ def prepare_output_and_logger(expname): print("Tensorboard not available: not logging progress") return tb_writer -def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, scene : Scene, renderFunc, renderArgs, stage, dataset_type): +def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, lpips_model2, scene : Scene, renderFunc, renderArgs, stage, dataset_type): if tb_writer: tb_writer.add_scalar(f'{stage}/train_loss_patches/l1_loss', Ll1.item(), iteration) tb_writer.add_scalar(f'{stage}/train_loss_patchestotal_loss', loss.item(), iteration) @@ -338,7 +339,8 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i l1_test = 0.0 psnr_test = 0.0 ssim_test = 0.0 - lpips_test = 0.0 + lpips_test_a = 0.0 + lpips_test_v = 0.0 for idx, viewpoint in enumerate(config['cameras']): image = torch.clamp(renderFunc(viewpoint, scene.gaussians,stage=stage, cam_type=dataset_type, *renderArgs)["render"], 0.0, 1.0) if dataset_type == "PanopticSports": @@ -355,7 +357,9 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i l1_test += l1_loss(image, gt_image).mean().double() # mask=viewpoint.mask - lpips_test += lpips_loss(image,gt_image,lpips_model) + lpips_test_a += lpips_loss(image,gt_image,lpips_model) + + lpips_test_v += lpips_loss(image,gt_image,lpips_model2) ssim_test += ssim(image,gt_image) @@ -363,11 +367,14 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i psnr_test /= len(config['cameras']) l1_test /= len(config['cameras']) - print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPS {}".format(iteration, config['name'], l1_test, psnr_test, ssim_test, lpips_test)) + print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPSA {} LPIPSV {}".format(iteration, config['name'], l1_test, psnr_test, ssim_test, lpips_test_a, lpips_test_v)) # print("sh feature",scene.gaussians.get_features.shape) if tb_writer: tb_writer.add_scalar(stage + "/"+config['name'] + '/loss_viewpoint - l1_loss', l1_test, iteration) tb_writer.add_scalar(stage+"/"+config['name'] + '/loss_viewpoint - psnr', psnr_test, iteration) + tb_writer.add_scalar(stage+"/"+config['name'] + '/loss_viewpoint - ssim', ssim_test, iteration) + tb_writer.add_scalar(stage + "/"+config['name'] + '/loss_viewpoint - lpipsa', lpips_test_a, iteration) + tb_writer.add_scalar(stage+"/"+config['name'] + '/loss_viewpoint - lpipsv', lpips_test_v, iteration) if tb_writer: tb_writer.add_histogram(f"{stage}/scene/opacity_histogram", scene.gaussians.get_opacity, iteration) From 40c55775ff46c44d73f2b486e6c457ad535b322e Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 21:07:56 +0530 Subject: [PATCH 07/18] Update train.py --- train.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/train.py b/train.py index 704060da..99c5fe43 100644 --- a/train.py +++ b/train.py @@ -357,11 +357,11 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i l1_test += l1_loss(image, gt_image).mean().double() # mask=viewpoint.mask - lpips_test_a += lpips_loss(image,gt_image,lpips_model) + lpips_test_a += lpips_loss(image,gt_image,lpips_model, normalize=True).mean().double() - lpips_test_v += lpips_loss(image,gt_image,lpips_model2) + lpips_test_v += lpips_loss(image,gt_image,lpips_model2, normalize=True).mean().double() - ssim_test += ssim(image,gt_image) + ssim_test += ssim(image,gt_image).mean().double() psnr_test += psnr(image, gt_image, mask=None).mean().double() From 6a20ef40719c69857eac58c1cc1365cbfb5350ac Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 21:32:46 +0530 Subject: [PATCH 08/18] Update train.py --- train.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/train.py b/train.py index 99c5fe43..477d2acc 100644 --- a/train.py +++ b/train.py @@ -31,6 +31,7 @@ from time import time import copy +device = torch.device("cuda" if torch.cuda.is_available() else "cpu") to8b = lambda x : (255*np.clip(x.cpu().numpy(),0,1)).astype(np.uint8) try: @@ -69,8 +70,8 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i progress_bar = tqdm(range(first_iter, final_iter), desc="Training progress") first_iter += 1 - lpips_model = lpips.LPIPS(net="alex").cuda() - lpips_model2 = lpips.LPIPS(net="vgg").cuda() + lpips_model = lpips.LPIPS(net="alex", version="0.1").eval().to(device) + lpips_model2 = lpips.LPIPS(net="vgg", version="0.1").eval().to(device) video_cams = scene.getVideoCameras() test_cams = scene.getTestCameras() train_cams = scene.getTrainCameras() @@ -228,7 +229,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i # Log and save timer.pause() - training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, lpips_model2, scene, render, [pipe, background], stage, scene.dataset_type) + training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, lpips_model2, opt.lambda_lpips, opt.lambda_dssim, scene, render, [pipe, background], stage, scene.dataset_type) if (iteration in saving_iterations): print("\n[ITER {}] Saving Gaussians".format(iteration)) scene.save(iteration, stage) @@ -320,7 +321,7 @@ def prepare_output_and_logger(expname): print("Tensorboard not available: not logging progress") return tb_writer -def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, lpips_model2, scene : Scene, renderFunc, renderArgs, stage, dataset_type): +def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, lpips_model2, opt.lambda_lpips, opt.lambda_dssim, scene : Scene, renderFunc, renderArgs, stage, dataset_type): if tb_writer: tb_writer.add_scalar(f'{stage}/train_loss_patches/l1_loss', Ll1.item(), iteration) tb_writer.add_scalar(f'{stage}/train_loss_patchestotal_loss', loss.item(), iteration) @@ -359,9 +360,9 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i lpips_test_a += lpips_loss(image,gt_image,lpips_model, normalize=True).mean().double() - lpips_test_v += lpips_loss(image,gt_image,lpips_model2, normalize=True).mean().double() + lpips_test_v += opt.lambda_lpips * lpips_loss(image,gt_image,lpips_model2).mean().double() - ssim_test += ssim(image,gt_image).mean().double() + ssim_test += opt.lambda_dssim * (1.0- ssim(image,gt_image).mean().double()) psnr_test += psnr(image, gt_image, mask=None).mean().double() From 0cc28dcd2215fd8ae43c0ca17175eef5f21ef6b3 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 21:51:02 +0530 Subject: [PATCH 09/18] Update train.py --- train.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/train.py b/train.py index 477d2acc..4df2de39 100644 --- a/train.py +++ b/train.py @@ -229,7 +229,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i # Log and save timer.pause() - training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, lpips_model2, opt.lambda_lpips, opt.lambda_dssim, scene, render, [pipe, background], stage, scene.dataset_type) + training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, lpips_model2, opt.lambda_dssim, scene, render, [pipe, background], stage, scene.dataset_type) if (iteration in saving_iterations): print("\n[ITER {}] Saving Gaussians".format(iteration)) scene.save(iteration, stage) @@ -321,7 +321,7 @@ def prepare_output_and_logger(expname): print("Tensorboard not available: not logging progress") return tb_writer -def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, lpips_model2, opt.lambda_lpips, opt.lambda_dssim, scene : Scene, renderFunc, renderArgs, stage, dataset_type): +def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, lpips_model2, opt.lambda_dssim, scene : Scene, renderFunc, renderArgs, stage, dataset_type): if tb_writer: tb_writer.add_scalar(f'{stage}/train_loss_patches/l1_loss', Ll1.item(), iteration) tb_writer.add_scalar(f'{stage}/train_loss_patchestotal_loss', loss.item(), iteration) @@ -339,7 +339,7 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i if config['cameras'] and len(config['cameras']) > 0: l1_test = 0.0 psnr_test = 0.0 - ssim_test = 0.0 + ssim_test = [] lpips_test_a = 0.0 lpips_test_v = 0.0 for idx, viewpoint in enumerate(config['cameras']): @@ -358,17 +358,17 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i l1_test += l1_loss(image, gt_image).mean().double() # mask=viewpoint.mask - lpips_test_a += lpips_loss(image,gt_image,lpips_model, normalize=True).mean().double() + lpips_test_a += lpips_loss(image,gt_image,lpips_model, normalize=True).item() - lpips_test_v += opt.lambda_lpips * lpips_loss(image,gt_image,lpips_model2).mean().double() + lpips_test_v += lpips_loss(image,gt_image,lpips_model2, normalize=True).item() - ssim_test += opt.lambda_dssim * (1.0- ssim(image,gt_image).mean().double()) + ssim_test.append(ssim(image,gt_image)) psnr_test += psnr(image, gt_image, mask=None).mean().double() psnr_test /= len(config['cameras']) l1_test /= len(config['cameras']) - print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPSA {} LPIPSV {}".format(iteration, config['name'], l1_test, psnr_test, ssim_test, lpips_test_a, lpips_test_v)) + print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPSA {} LPIPSV {}".format(iteration, config['name'], l1_test, psnr_test, np.array(ssim_test).mean(), lpips_test_a, lpips_test_v)) # print("sh feature",scene.gaussians.get_features.shape) if tb_writer: tb_writer.add_scalar(stage + "/"+config['name'] + '/loss_viewpoint - l1_loss', l1_test, iteration) From 8b0563d2dc2fc43c655eb80836ad9b3eefabc590 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 22:00:27 +0530 Subject: [PATCH 10/18] Update train.py --- train.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index 4df2de39..ca62b7c3 100644 --- a/train.py +++ b/train.py @@ -229,7 +229,7 @@ def scene_reconstruction(dataset, opt, hyper, pipe, testing_iterations, saving_i # Log and save timer.pause() - training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, lpips_model2, opt.lambda_dssim, scene, render, [pipe, background], stage, scene.dataset_type) + training_report(tb_writer, iteration, Ll1, loss, l1_loss, iter_start.elapsed_time(iter_end), testing_iterations, lpips_model, lpips_model2, scene, render, [pipe, background], stage, scene.dataset_type) if (iteration in saving_iterations): print("\n[ITER {}] Saving Gaussians".format(iteration)) scene.save(iteration, stage) @@ -321,7 +321,7 @@ def prepare_output_and_logger(expname): print("Tensorboard not available: not logging progress") return tb_writer -def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, lpips_model2, opt.lambda_dssim, scene : Scene, renderFunc, renderArgs, stage, dataset_type): +def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, lpips_model, lpips_model2, scene : Scene, renderFunc, renderArgs, stage, dataset_type): if tb_writer: tb_writer.add_scalar(f'{stage}/train_loss_patches/l1_loss', Ll1.item(), iteration) tb_writer.add_scalar(f'{stage}/train_loss_patchestotal_loss', loss.item(), iteration) From 664b284121e37e300e9e1eae616c89d89ab69144 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 22:10:26 +0530 Subject: [PATCH 11/18] Update train.py --- train.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/train.py b/train.py index ca62b7c3..494017b8 100644 --- a/train.py +++ b/train.py @@ -358,9 +358,9 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i l1_test += l1_loss(image, gt_image).mean().double() # mask=viewpoint.mask - lpips_test_a += lpips_loss(image,gt_image,lpips_model, normalize=True).item() + lpips_test_a += lpips_model(gt_image, image, normalize=True).item() - lpips_test_v += lpips_loss(image,gt_image,lpips_model2, normalize=True).item() + lpips_test_v += lpips_model2(gt_image, image, normalize=True).item() ssim_test.append(ssim(image,gt_image)) From 19e1856eefad641f6aedf5752942558d2a2d45b5 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 22:21:29 +0530 Subject: [PATCH 12/18] Update train.py --- train.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/train.py b/train.py index 494017b8..74ae55b1 100644 --- a/train.py +++ b/train.py @@ -339,7 +339,8 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i if config['cameras'] and len(config['cameras']) > 0: l1_test = 0.0 psnr_test = 0.0 - ssim_test = [] + ssim_test = 0.0 + n = 0 lpips_test_a = 0.0 lpips_test_v = 0.0 for idx, viewpoint in enumerate(config['cameras']): @@ -362,13 +363,14 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i lpips_test_v += lpips_model2(gt_image, image, normalize=True).item() - ssim_test.append(ssim(image,gt_image)) + ssim_test += ssim(image,gt_image) + n += 1 psnr_test += psnr(image, gt_image, mask=None).mean().double() psnr_test /= len(config['cameras']) l1_test /= len(config['cameras']) - print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPSA {} LPIPSV {}".format(iteration, config['name'], l1_test, psnr_test, np.array(ssim_test).mean(), lpips_test_a, lpips_test_v)) + print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPSA {} LPIPSV {}".format(iteration, config['name'], l1_test, psnr_test, ssim_test/n , lpips_test_a, lpips_test_v)) # print("sh feature",scene.gaussians.get_features.shape) if tb_writer: tb_writer.add_scalar(stage + "/"+config['name'] + '/loss_viewpoint - l1_loss', l1_test, iteration) From 4081b78e1053a6427713f76b1951f43e1197a97c Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Sun, 11 Feb 2024 22:37:17 +0530 Subject: [PATCH 13/18] Update train.py --- train.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/train.py b/train.py index 74ae55b1..352919a2 100644 --- a/train.py +++ b/train.py @@ -370,7 +370,7 @@ def training_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_i psnr_test /= len(config['cameras']) l1_test /= len(config['cameras']) - print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPSA {} LPIPSV {}".format(iteration, config['name'], l1_test, psnr_test, ssim_test/n , lpips_test_a, lpips_test_v)) + print("\n[ITER {}] Evaluating {}: L1 {} PSNR {} SSIM {} LPIPSA {} LPIPSV {}".format(iteration, config['name'], l1_test, psnr_test, ssim_test/n, lpips_test_a/n, lpips_test_v/n)) # print("sh feature",scene.gaussians.get_features.shape) if tb_writer: tb_writer.add_scalar(stage + "/"+config['name'] + '/loss_viewpoint - l1_loss', l1_test, iteration) From 8698cca07f9db6d3019a75da77f0083573cc3d8f Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Mon, 12 Feb 2024 02:46:26 +0530 Subject: [PATCH 14/18] Added ipynb file Contains the notebook run with changes fixed and new losses. --- 4DGaussians.ipynb | 5109 ++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 4771 insertions(+), 338 deletions(-) diff --git a/4DGaussians.ipynb b/4DGaussians.ipynb index a6bbc445..e0e1515c 100644 --- a/4DGaussians.ipynb +++ b/4DGaussians.ipynb @@ -2,10 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "id": "VjYy0F2gZIPR", - "outputId": "129c4176-455a-42b0-e06a-b30ef7792aea", + "outputId": "1de934b0-9534-4f23-be8f-edfe47267e50", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 @@ -13,115 +13,174 @@ }, "outputs": [ { - "metadata": { - "tags": null - }, - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "/content\n", - "fatal: destination path '4DGaussians' already exists and is not an empty directory.\n", + "Cloning into '4DGaussians'...\n", + "remote: Enumerating objects: 2513, done.\u001b[K\n", + "remote: Counting objects: 100% (288/288), done.\u001b[K\n", + "remote: Compressing objects: 100% (177/177), done.\u001b[K\n", + "remote: Total 2513 (delta 162), reused 177 (delta 105), pack-reused 2225\u001b[K\n", + "Receiving objects: 100% (2513/2513), 54.99 MiB | 16.23 MiB/s, done.\n", + "Resolving deltas: 100% (1183/1183), done.\n", "/content/4DGaussians\n", "Submodule 'submodules/depth-diff-gaussian-rasterization' (https://github.com/ingra14m/depth-diff-gaussian-rasterization) registered for path 'submodules/depth-diff-gaussian-rasterization'\n", "Submodule 'submodules/simple-knn' (https://gitlab.inria.fr/bkerbl/simple-knn.git) registered for path 'submodules/simple-knn'\n", "Cloning into '/content/4DGaussians/submodules/depth-diff-gaussian-rasterization'...\n", "Cloning into '/content/4DGaussians/submodules/simple-knn'...\n", - "Submodule path 'submodules/depth-diff-gaussian-rasterization': checked out 'f2d8fa9921ea9a6cb9ac1c33a34ebd1b11510657'\n", + "remote: Enumerating objects: 6, done.\u001b[K\n", + "remote: Counting objects: 100% (3/3), done.\u001b[K\n", + "remote: Compressing objects: 100% (3/3), done.\u001b[K\n", + "remote: Total 6 (delta 0), reused 0 (delta 0), pack-reused 3\u001b[K\n", + "Unpacking objects: 100% (6/6), 2.93 MiB | 1.67 MiB/s, done.\n", + "From https://github.com/ingra14m/depth-diff-gaussian-rasterization\n", + " * branch e49506654e8e11ed8a62d22bcb693e943fdecacf -> FETCH_HEAD\n", + "Submodule path 'submodules/depth-diff-gaussian-rasterization': checked out 'e49506654e8e11ed8a62d22bcb693e943fdecacf'\n", "Submodule 'third_party/glm' 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(from pexpect>4.3->ipython>=6.1.0->ipywidgets>=8.0.4->open3d->-r requirements.txt (line 7)) (0.7.0)\n", + "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=6.1.0->ipywidgets>=8.0.4->open3d->-r requirements.txt (line 7)) (0.2.13)\n", "Building wheels for collected packages: mmcv\n", " Building wheel for mmcv (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Created wheel for mmcv: filename=mmcv-1.6.0-py2.py3-none-any.whl size=847986 sha256=4aa22bff8e71e96eb0c412dea29087e675ea7ff37a484c5be7ca685662aa958c\n", + " Created wheel for mmcv: filename=mmcv-1.6.0-py2.py3-none-any.whl size=847985 sha256=09c3e9c292df38e995e6da1e8f4ffc10d60b73922923155974090a6f1811ece7\n", " Stored in directory: /root/.cache/pip/wheels/02/e2/7c/97f72e34ee40d71cdd28b94c9fdfec7bcc453651ad6e65c96d\n", "Successfully built mmcv\n", - "Installing collected packages: argparse, addict, plyfile, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, yapf, nvidia-cudnn-cu11, torch, mmcv, torchvision, torchaudio, lpips\n", - " Attempting uninstall: torch\n", - " Found existing installation: torch 2.0.1+cu118\n", - " Uninstalling torch-2.0.1+cu118:\n", - " Successfully uninstalled torch-2.0.1+cu118\n", - " Attempting uninstall: torchvision\n", - " Found existing installation: torchvision 0.15.2+cu118\n", - " Uninstalling torchvision-0.15.2+cu118:\n", - " Successfully uninstalled torchvision-0.15.2+cu118\n", - " Attempting uninstall: torchaudio\n", - " Found existing installation: torchaudio 2.0.2+cu118\n", - " Uninstalling torchaudio-2.0.2+cu118:\n", - " Successfully uninstalled torchaudio-2.0.2+cu118\n", - "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", - "torchdata 0.6.1 requires torch==2.0.1, but you have torch 1.13.1 which is incompatible.\n", - "torchtext 0.15.2 requires torch==2.0.1, but you have torch 1.13.1 which is incompatible.\u001b[0m\u001b[31m\n", - "\u001b[0mSuccessfully installed addict-2.4.0 argparse-1.4.0 lpips-0.1.4 mmcv-1.6.0 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 plyfile-1.0.1 torch-1.13.1 torchaudio-0.13.1 torchvision-0.14.1 yapf-0.40.2\n" + "Installing collected packages: dash-table, dash-html-components, dash-core-components, argparse, addict, widgetsnbextension, retrying, pyquaternion, plyfile, jupyterlab-widgets, jedi, configargparse, comm, yapf, pytorch_msssim, mmcv, ipywidgets, dash, lpips, open3d\n", + " Attempting uninstall: widgetsnbextension\n", + " Found existing installation: widgetsnbextension 3.6.6\n", + " Uninstalling widgetsnbextension-3.6.6:\n", + " Successfully uninstalled widgetsnbextension-3.6.6\n", + " Attempting uninstall: jupyterlab-widgets\n", + " Found existing installation: jupyterlab-widgets 3.0.9\n", + " Uninstalling jupyterlab-widgets-3.0.9:\n", + " Successfully uninstalled jupyterlab-widgets-3.0.9\n", + " Attempting uninstall: ipywidgets\n", + " Found existing installation: ipywidgets 7.7.1\n", + " Uninstalling ipywidgets-7.7.1:\n", + " Successfully uninstalled ipywidgets-7.7.1\n", + "Successfully installed addict-2.4.0 argparse-1.4.0 comm-0.2.1 configargparse-1.7 dash-2.15.0 dash-core-components-2.0.0 dash-html-components-2.0.0 dash-table-5.0.0 ipywidgets-8.1.2 jedi-0.19.1 jupyterlab-widgets-3.0.10 lpips-0.1.4 mmcv-1.6.0 open3d-0.18.0 plyfile-1.0.3 pyquaternion-0.9.9 pytorch_msssim-1.0.0 retrying-1.3.4 widgetsnbextension-4.0.10 yapf-0.40.2\n" ] }, { + "output_type": "display_data", "data": { "application/vnd.colab-display-data+json": { "pip_warning": { @@ -131,8 +190,7 @@ } } }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { "output_type": "stream", @@ -153,7 +211,7 @@ ], "source": [ "%cd /content\n", - "!git clone https://github.com/hustvl/4DGaussians\n", + "!git clone https://github.com/Tasmay-Tibrewal/4DGaussians\n", "%cd 4DGaussians\n", "!git submodule update --init --recursive\n", "\n", @@ -162,6 +220,91 @@ "!pip install -e submodules/simple-knn\n" ] }, + { + "cell_type": "code", + "source": [ + "!sudo apt-get install libglm-dev" + ], + "metadata": { + "id": "vSr0LKDzyXRc", + "outputId": "8d0f718c-be6d-4925-f78e-3401ab1a2f86", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Reading package lists... Done\n", + "Building dependency tree... Done\n", + "Reading state information... Done\n", + "The following NEW packages will be installed:\n", + " libglm-dev\n", + "0 upgraded, 1 newly installed, 0 to remove and 32 not upgraded.\n", + "Need to get 188 kB of archives.\n", + "After this operation, 2,312 kB of additional disk space will be used.\n", + "Get:1 http://archive.ubuntu.com/ubuntu jammy/main amd64 libglm-dev all 0.9.9.8+ds-2 [188 kB]\n", + "Fetched 188 kB in 1s (156 kB/s)\n", + "debconf: unable to initialize frontend: Dialog\n", + "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78, <> line 1.)\n", + "debconf: falling back to frontend: Readline\n", + "debconf: unable to initialize frontend: Readline\n", + "debconf: (This frontend requires a controlling tty.)\n", + "debconf: falling back to frontend: Teletype\n", + "dpkg-preconfigure: unable to re-open stdin: \n", + "Selecting previously unselected package libglm-dev.\n", + "(Reading database ... 121749 files and directories currently installed.)\n", + "Preparing to unpack .../libglm-dev_0.9.9.8+ds-2_all.deb ...\n", + "Unpacking libglm-dev (0.9.9.8+ds-2) ...\n", + "Setting up libglm-dev (0.9.9.8+ds-2) ...\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip3 install torch torchvision torchaudio" + ], + "metadata": { + "id": "b3AB2HKnyzr6", + "outputId": "562567c4-e1e8-4227-adb1-9f0f1b4d9984", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.1.0+cu121)\n", + "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (0.16.0+cu121)\n", + "Requirement already satisfied: torchaudio in /usr/local/lib/python3.10/dist-packages (2.1.0+cu121)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.13.1)\n", + "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch) (4.9.0)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch) (1.12)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch) (3.2.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch) (3.1.3)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch) (2023.6.0)\n", + "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch) (2.1.0)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision) (1.23.5)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision) (2.31.0)\n", + "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision) (9.4.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch) (2.1.5)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (3.6)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (2024.2.2)\n", + "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch) (1.3.0)\n" + ] + } + ] + }, { "cell_type": "code", "source": [ @@ -171,24 +314,1526 @@ "!unzip data.zip" ], "metadata": { - "id": "wpqmK97Koq36" + "id": "wpqmK97Koq36", + "outputId": "e612d081-ce96-4bcf-c84b-3a24b8345cec", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "execution_count": null, - "outputs": [] + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/test\n", + "--2024-02-11 17:13:27-- https://huggingface.co/camenduru/4DGaussians/resolve/main/data/data.zip\n", + "Resolving huggingface.co (huggingface.co)... 13.33.33.55, 13.33.33.20, 13.33.33.110, ...\n", + "Connecting to huggingface.co (huggingface.co)|13.33.33.55|:443... connected.\n", + "HTTP request sent, awaiting response... 302 Found\n", + "Location: 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[following]\n", + "--2024-02-11 17:13:28-- 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inflating: data/trex/train/r_159.png \n", + " inflating: data/trex/train/r_072.png \n" + ] + } + ] }, { "cell_type": "markdown", - "source": [], + "source": [ + "# **Bouncing Balls**" + ], "metadata": { "id": "IBB-voY0oqpy" } }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 5, "metadata": { "id": "8hk10A8Al7_V", - "outputId": "e6df1ec7-fe5c-4b08-bee5-bcf077759c2a", + "outputId": "55a54e75-5985-4ae7-f704-c65335ba0e1b", "colab": { "base_uri": "https://localhost:8080/" } @@ -199,253 +1844,319 @@ "name": "stdout", "text": [ "/content/4DGaussians\n", + "2024-02-11 17:13:42.330401: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 17:13:42.330453: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 17:13:42.331839: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 17:13:43.851263: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", "Optimizing \n", - "Output folder: ./output/dnerf/bouncingballs [18/10 12:15:58]\n", - "2023-10-18 12:15:59.094660: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", - "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "2023-10-18 12:16:00.723098: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", - "feature_dim: 128 [18/10 12:16:03]\n", - "Found transforms_train.json file, assuming Blender data set! [18/10 12:16:03]\n", - "Reading Training Transforms [18/10 12:16:03]\n", - "Reading Test Transforms [18/10 12:16:16]\n", - "Generating Video Transforms [18/10 12:16:18]\n", - "Generating random point cloud (2000)... [18/10 12:16:19]\n", - "Loading Training Cameras [18/10 12:16:19]\n", - "Loading Test Cameras [18/10 12:16:19]\n", - "Loading Video Cameras [18/10 12:16:19]\n", + "Output folder: ./output/dnerf/bouncingballs [11/02 17:13:46]\n", + "feature_dim: 64 [11/02 17:13:46]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 17:13:46]\n", + "Reading Training Transforms [11/02 17:13:46]\n", + "Reading Test Transforms [11/02 17:13:59]\n", + "Generating Video Transforms [11/02 17:14:01]\n", + "hello!!!! [11/02 17:14:01]\n", + "Generating random point cloud (2000)... [11/02 17:14:01]\n", + "Loading Training Cameras [11/02 17:14:01]\n", + "Loading Test Cameras [11/02 17:14:01]\n", + "Loading Video Cameras [11/02 17:14:01]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 17:14:01]\n", "Voxel Plane: set aabb= Parameter containing:\n", "tensor([[ 1.2998, 1.2999, 1.2999],\n", - " [-1.2998, -1.2998, -1.2987]], requires_grad=True) [18/10 12:16:20]\n", - "Number of points at initialisation : 2000 [18/10 12:16:24]\n", - "Training progress: 0% 0/3000 [00:00\n", - " \n", + " \n", " \n", " " ] }, "metadata": {}, - "execution_count": 6 + "execution_count": 8 } ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "gpuType": "T4", - "provenance": [] + }, + { + "cell_type": "markdown", + "source": [ + "# **Hell warrior**" + ], + "metadata": { + "id": "5W8d3nrVPAiL" + } + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "outputId": "b0a3f64b-3d67-4bc1-e527-7f7b2be2056d", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LMBazODGPO_A" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/4DGaussians\n", + "2024-02-11 17:36:10.214940: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 17:36:10.214993: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 17:36:10.216349: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 17:36:11.729168: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "Optimizing \n", + "Output folder: ./output/dnerf/hellwarrior [11/02 17:36:13]\n", + "feature_dim: 64 [11/02 17:36:13]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 17:36:13]\n", + "Reading Training Transforms [11/02 17:36:13]\n", + "Reading Test Transforms [11/02 17:36:20]\n", + "Generating Video Transforms [11/02 17:36:23]\n", + "hello!!!! [11/02 17:36:23]\n", + "Generating random point cloud (2000)... [11/02 17:36:23]\n", + "Loading Training Cameras [11/02 17:36:23]\n", + "Loading Test Cameras [11/02 17:36:23]\n", + "Loading Video Cameras [11/02 17:36:23]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 17:36:23]\n", + "Voxel Plane: set aabb= Parameter containing:\n", + "tensor([[ 1.2998, 1.2999, 1.2999],\n", + " [-1.2998, -1.2998, -1.2987]]) [11/02 17:36:23]\n", + "Number of points at initialisation : 2000 [11/02 17:36:23]\n", + "Training progress: 0% 0/3000 [00:00\n", + " \n", + " \n", + " \"\"\" % data_url)" + ], + "metadata": { + "id": "ZZ-Qy6U6PO_A" + }, + "execution_count": 11, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "save_dir = '/content/4DGaussians/output/dnerf/hellwarrior/video/ours_20000/video_rgb.mp4'\n", + "\n", + "import os\n", + "import glob\n", + "# video_path = glob.glob(os.path.join(save_dir, \"*-test.mp4\"))[0]\n", + "display_video(save_dir)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "131ea499-00c3-42c1-8df7-b9e328cc47ce", + "id": "Cg-VOdltPO_A" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 12 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# **Hook**" + ], + "metadata": { + "id": "9XtQzIqSRx_b" + } + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "outputId": "abe52166-ac92-49d3-b08a-74ba007174f1", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JSeO1CdSRx_b" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/4DGaussians\n", + "2024-02-11 17:57:47.215799: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 17:57:47.215851: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 17:57:47.217256: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 17:57:48.531581: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "Optimizing \n", + "Output folder: ./output/dnerf/hook [11/02 17:57:49]\n", + "feature_dim: 64 [11/02 17:57:49]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 17:57:49]\n", + "Reading Training Transforms [11/02 17:57:49]\n", + "Reading Test Transforms [11/02 17:57:58]\n", + "Generating Video Transforms [11/02 17:57:59]\n", + "hello!!!! [11/02 17:57:59]\n", + "Generating random point cloud (2000)... [11/02 17:58:00]\n", + "Loading Training Cameras [11/02 17:58:00]\n", + "Loading Test Cameras [11/02 17:58:00]\n", + "Loading Video Cameras [11/02 17:58:00]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 17:58:00]\n", + "Voxel Plane: set aabb= Parameter containing:\n", + "tensor([[ 1.2998, 1.2999, 1.2999],\n", + " [-1.2998, -1.2998, -1.2987]]) [11/02 17:58:00]\n", + "Number of points at initialisation : 2000 [11/02 17:58:00]\n", + "Training progress: 0% 0/3000 [00:00\n", + " \n", + " \n", + " \"\"\" % data_url)" + ], + "metadata": { + "id": "ZsX0kdxZRx_c" + }, + "execution_count": 15, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "save_dir = '/content/4DGaussians/output/dnerf/hook/video/ours_20000/video_rgb.mp4'\n", + "\n", + "import os\n", + "import glob\n", + "# video_path = glob.glob(os.path.join(save_dir, \"*-test.mp4\"))[0]\n", + "display_video(save_dir)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "a6cf10a8-6e50-40a7-d3fa-7ff233ce0a2a", + "id": "kiLF7f7IRx_c" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 16 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# **Jumping Jacks**" + ], + "metadata": { + "id": "yLZDDHL1SGYU" + } + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "outputId": "cb69dc08-e71f-4935-ed51-fafa37cb16ef", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Lj7Xp_GvSGYV" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/4DGaussians\n", + "2024-02-11 18:18:53.938585: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 18:18:53.938637: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 18:18:53.939973: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 18:18:55.205681: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "Optimizing \n", + "Output folder: ./output/dnerf/jumpingjacks [11/02 18:18:56]\n", + "feature_dim: 64 [11/02 18:18:56]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 18:18:56]\n", + "Reading Training Transforms [11/02 18:18:56]\n", + "Reading Test Transforms [11/02 18:19:11]\n", + "Generating Video Transforms [11/02 18:19:14]\n", + "hello!!!! [11/02 18:19:14]\n", + "Generating random point cloud (2000)... [11/02 18:19:14]\n", + "Loading Training Cameras [11/02 18:19:14]\n", + "Loading Test Cameras [11/02 18:19:14]\n", + "Loading Video Cameras [11/02 18:19:14]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 18:19:14]\n", + "Voxel Plane: set aabb= Parameter containing:\n", + "tensor([[ 1.2998, 1.2999, 1.2999],\n", + " [-1.2998, -1.2998, -1.2987]]) [11/02 18:19:14]\n", + "Number of points at initialisation : 2000 [11/02 18:19:14]\n", + "Training progress: 0% 0/3000 [00:00\n", + " \n", + " \n", + " \"\"\" % data_url)" + ], + "metadata": { + "id": "G08_Ej5_SGYV" + }, + "execution_count": 19, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "save_dir = '/content/4DGaussians/output/dnerf/jumpingjacks/video/ours_20000/video_rgb.mp4'\n", + "\n", + "import os\n", + "import glob\n", + "# video_path = glob.glob(os.path.join(save_dir, \"*-test.mp4\"))[0]\n", + "display_video(save_dir)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "b3f2e8d1-a4b6-47d8-a841-c626967bf39c", + "id": "aXCyJLp9SGYV" + }, + "execution_count": 20, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 20 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# **Lego**" + ], + "metadata": { + "id": "8Uf5cAlQSjoD" + } + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "outputId": "a8490bc0-8689-42b3-f736-e643b65d9040", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1BIAx3VkSjoE" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/4DGaussians\n", + "2024-02-11 18:38:13.965227: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 18:38:13.965278: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 18:38:13.966623: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 18:38:15.252957: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "Optimizing \n", + "Output folder: ./output/dnerf/lego [11/02 18:38:16]\n", + "feature_dim: 64 [11/02 18:38:16]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 18:38:16]\n", + "Reading Training Transforms [11/02 18:38:16]\n", + "Reading Test Transforms [11/02 18:38:21]\n", + "Generating Video Transforms [11/02 18:38:22]\n", + "hello!!!! [11/02 18:38:22]\n", + "Generating random point cloud (2000)... [11/02 18:38:22]\n", + "Loading Training Cameras [11/02 18:38:22]\n", + "Loading Test Cameras [11/02 18:38:22]\n", + "Loading Video Cameras [11/02 18:38:22]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 18:38:22]\n", + "Voxel Plane: set aabb= Parameter containing:\n", + "tensor([[ 1.2998, 1.2999, 1.2999],\n", + " [-1.2998, -1.2998, -1.2987]]) [11/02 18:38:22]\n", + "Number of points at initialisation : 2000 [11/02 18:38:23]\n", + "Training progress: 0% 0/3000 [00:00\n", + " \n", + " \n", + " \"\"\" % data_url)" + ], + "metadata": { + "id": "K29Ynrm1SjoE" + }, + "execution_count": 23, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "save_dir = '/content/4DGaussians/output/dnerf/lego/video/ours_20000/video_rgb.mp4'\n", + "\n", + "import os\n", + "import glob\n", + "# video_path = glob.glob(os.path.join(save_dir, \"*-test.mp4\"))[0]\n", + "display_video(save_dir)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "ac4ad83e-212d-452a-9d03-7b3327acff5f", + "id": "ThKLgjBvSjoE" + }, + "execution_count": 24, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 24 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# **Mutant**" + ], + "metadata": { + "id": "NcJK9UZUS4Dm" + } + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "outputId": "63275a81-cbc3-4e69-d41f-a74e67a523b1", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "T207ED7BS4Dm" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/4DGaussians\n", + "2024-02-11 19:07:02.932489: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 19:07:02.932537: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 19:07:02.934048: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 19:07:04.324046: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "Optimizing \n", + "Output folder: ./output/dnerf/mutant [11/02 19:07:05]\n", + "feature_dim: 64 [11/02 19:07:05]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 19:07:05]\n", + "Reading Training Transforms [11/02 19:07:05]\n", + "Reading Test Transforms [11/02 19:07:18]\n", + "Generating Video Transforms [11/02 19:07:19]\n", + "hello!!!! [11/02 19:07:19]\n", + "Generating random point cloud (2000)... [11/02 19:07:19]\n", + "Loading Training Cameras [11/02 19:07:19]\n", + "Loading Test Cameras [11/02 19:07:19]\n", + "Loading Video Cameras [11/02 19:07:19]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 19:07:19]\n", + "Voxel Plane: set aabb= Parameter containing:\n", + "tensor([[ 1.2998, 1.2999, 1.2999],\n", + " [-1.2998, -1.2998, -1.2987]]) [11/02 19:07:19]\n", + "Number of points at initialisation : 2000 [11/02 19:07:19]\n", + "Training progress: 0% 0/3000 [00:00\n", + " \n", + " \n", + " \"\"\" % data_url)" + ], + "metadata": { + "id": "o89H8OEpS4Dn" + }, + "execution_count": 27, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "save_dir = '/content/4DGaussians/output/dnerf/mutant/video/ours_20000/video_rgb.mp4'\n", + "\n", + "import os\n", + "import glob\n", + "# video_path = glob.glob(os.path.join(save_dir, \"*-test.mp4\"))[0]\n", + "display_video(save_dir)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "a1a1c60e-21a0-4b7c-a140-0afafe24c580", + "id": "Otl8KWxWS4Dn" + }, + "execution_count": 28, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 28 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# **Standup**" + ], + "metadata": { + "id": "DKqkeJqDTT73" + } + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "outputId": "2fac6d91-fb99-43ba-aa96-a2397391ac55", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "p6gzIFT_TT73" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/4DGaussians\n", + "2024-02-11 19:28:11.038743: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 19:28:11.038795: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 19:28:11.040191: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 19:28:12.405372: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "Optimizing \n", + "Output folder: ./output/dnerf/standup [11/02 19:28:13]\n", + "feature_dim: 64 [11/02 19:28:14]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 19:28:14]\n", + "Reading Training Transforms [11/02 19:28:14]\n", + "Reading Test Transforms [11/02 19:28:25]\n", + "Generating Video Transforms [11/02 19:28:28]\n", + "hello!!!! [11/02 19:28:28]\n", + "Generating random point cloud (2000)... [11/02 19:28:28]\n", + "Loading Training Cameras [11/02 19:28:28]\n", + "Loading Test Cameras [11/02 19:28:28]\n", + "Loading Video Cameras [11/02 19:28:28]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 19:28:28]\n", + "Voxel Plane: set aabb= Parameter containing:\n", + "tensor([[ 1.2998, 1.2999, 1.2999],\n", + " [-1.2998, -1.2998, -1.2987]]) [11/02 19:28:28]\n", + "Number of points at initialisation : 2000 [11/02 19:28:28]\n", + "Training progress: 0% 0/3000 [00:00\n", + " \n", + " \n", + " \"\"\" % data_url)" + ], + "metadata": { + "id": "Q2Ex7QzPTT74" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "save_dir = '/content/4DGaussians/output/dnerf/standup/video/ours_20000/video_rgb.mp4'\n", + "\n", + "import os\n", + "import glob\n", + "# video_path = glob.glob(os.path.join(save_dir, \"*-test.mp4\"))[0]\n", + "display_video(save_dir)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "e8ea7b72-4b36-4bc6-cb52-54fe3bd92244", + "id": "KEy7xpU1TT74" + }, + "execution_count": 32, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 32 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# **Trex**" + ], + "metadata": { + "id": "i7-5hOlRT4-q" + } + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "outputId": "2b0c6774-344d-4c42-f687-e28ebb6c8d56", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PFFjjnUcT4-r" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "/content/4DGaussians\n", + "2024-02-11 19:47:32.582506: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-02-11 19:47:32.582563: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-02-11 19:47:32.584003: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "2024-02-11 19:47:33.877822: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "Optimizing \n", + "Output folder: ./output/dnerf/trex [11/02 19:47:35]\n", + "feature_dim: 64 [11/02 19:47:35]\n", + "Found transforms_train.json file, assuming Blender data set! [11/02 19:47:35]\n", + "Reading Training Transforms [11/02 19:47:35]\n", + "Reading Test Transforms [11/02 19:47:50]\n", + "Generating Video Transforms [11/02 19:47:52]\n", + "hello!!!! [11/02 19:47:52]\n", + "Generating random point cloud (2000)... [11/02 19:47:52]\n", + "Loading Training Cameras [11/02 19:47:52]\n", + "Loading Test Cameras [11/02 19:47:52]\n", + "Loading Video Cameras [11/02 19:47:52]\n", + "Deformation Net Set aabb [1.29982098 1.29990645 1.29988719] [-1.29980838 -1.29981163 -1.29872349] [11/02 19:47:52]\n", + "Voxel Plane: set aabb= Parameter containing:\n", + "tensor([[ 1.2998, 1.2999, 1.2999],\n", + " [-1.2998, -1.2998, -1.2987]]) [11/02 19:47:52]\n", + "Number of points at initialisation : 2000 [11/02 19:47:52]\n", + "Training progress: 0% 0/3000 [00:00\n", + " \n", + " \n", + " \"\"\" % data_url)" + ], + "metadata": { + "id": "GOYqyAd1T4-s" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "save_dir = '/content/4DGaussians/output/dnerf/trex/video/ours_20000/video_rgb.mp4'\n", + "\n", + "import os\n", + "import glob\n", + "# video_path = glob.glob(os.path.join(save_dir, \"*-test.mp4\"))[0]\n", + "display_video(save_dir)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "8403214d-cb33-4c7c-82fa-18f67d0adb18", + "id": "v6VTcnnNT4-s" + }, + "execution_count": 36, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " " + ] + }, + "metadata": {}, + "execution_count": 36 + } + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "gpuType": "T4", + "provenance": [], + "collapsed_sections": [ + "IBB-voY0oqpy", + "5W8d3nrVPAiL", + "9XtQzIqSRx_b", + "yLZDDHL1SGYU", + "DKqkeJqDTT73", + "i7-5hOlRT4-q" + ] }, "kernelspec": { "display_name": "Python 3", From 8d3fed3953e0ee62d8af49595096db051b7937b3 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Mon, 12 Feb 2024 02:48:22 +0530 Subject: [PATCH 15/18] Update README.md Added new colab --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index f9372469..5f97f145 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,9 @@ ![block](assets/teaserfig.jpg) Our method converges very quickly and achieves real-time rendering speed. -Colab demo:[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hustvl/4DGaussians/blob/master/4DGaussians.ipynb) (Thanks [camenduru](https://github.com/camenduru/4DGaussians-colab).) +New Colab demo:[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1wz0D5Y9egAlcxXy8YO9UmpQ9oH51R7OW?usp=sharing) + +Old Colab demo:[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hustvl/4DGaussians/blob/master/4DGaussians.ipynb) (Thanks [camenduru](https://github.com/camenduru/4DGaussians-colab).) Light Gaussian implementation: [This link](https://github.com/pablodawson/4DGaussians) (Thanks [pablodawson](https://github.com/pablodawson)) From fa219d26c302bece85371dfca1bef5bc881b8a40 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Mon, 12 Feb 2024 02:57:49 +0530 Subject: [PATCH 16/18] Create jk --- Output Videos/jk | 1 + 1 file changed, 1 insertion(+) create mode 100644 Output Videos/jk diff --git a/Output Videos/jk b/Output Videos/jk new file mode 100644 index 00000000..1f9d725a --- /dev/null +++ b/Output Videos/jk @@ -0,0 +1 @@ +l From 2813a2ce6458add4a119228d761e257f664a3b64 Mon Sep 17 00:00:00 2001 From: Tasmay Pankaj Tibrewal <85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Mon, 12 Feb 2024 02:58:30 +0530 Subject: [PATCH 17/18] Added output videos --- Output Videos/T_rex.mp4 | Bin 0 -> 490484 bytes Output Videos/bouncing_balls.mp4 | Bin 0 -> 270761 bytes Output Videos/hell_warrior.mp4 | Bin 0 -> 381829 bytes Output Videos/hook.mp4 | Bin 0 -> 439895 bytes Output Videos/jumping_jacks.mp4 | Bin 0 -> 267049 bytes Output Videos/lego.mp4 | Bin 0 -> 894013 bytes Output Videos/mutant.mp4 | Bin 0 -> 414657 bytes Output Videos/standup.mp4 | Bin 0 -> 271499 bytes 8 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 Output Videos/T_rex.mp4 create mode 100644 Output Videos/bouncing_balls.mp4 create mode 100644 Output Videos/hell_warrior.mp4 create mode 100644 Output Videos/hook.mp4 create mode 100644 Output Videos/jumping_jacks.mp4 create mode 100644 Output Videos/lego.mp4 create mode 100644 Output Videos/mutant.mp4 create mode 100644 Output Videos/standup.mp4 diff --git a/Output Videos/T_rex.mp4 b/Output Videos/T_rex.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..af17a38b93ca591b3eb00ebb49e1e4a9bd8ff958 GIT binary patch literal 490484 zcmYhh19WaZ&?x-Ww(a)RwryLdwr$(CZJye;ZQJc>d+Of4-~H~t{16LzP8+#T;0001K>S$sDfNqW 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<85983760+Tasmay-Tibrewal@users.noreply.github.com> Date: Mon, 12 Feb 2024 02:59:15 +0530 Subject: [PATCH 18/18] Delete Output Videos/jk --- Output Videos/jk | 1 - 1 file changed, 1 deletion(-) delete mode 100644 Output Videos/jk diff --git a/Output Videos/jk b/Output Videos/jk deleted file mode 100644 index 1f9d725a..00000000 --- a/Output Videos/jk +++ /dev/null @@ -1 +0,0 @@ -l