Memory leakage in .predict - Repeatedly calling .predict(...) results in memory leak

[rhiskey]

Im trying to call face_detector.predict(rgb_img, thresh) just about 100 times/second and each time it causes memory increment just around 1.3-8.0 Mb.

    def crop_faces_from_numpy_image(self, numpy_rgb):
        bboxes = self.face_detector.predict(numpy_rgb, self.thresh)
        cropped_images_array = []

        for bbox in bboxes:
            xc = bbox[0]
            yc = bbox[1]
            w = bbox[2]
            h = bbox[3]

            face = self.cv2_image[yc - h:yc + h, xc - w:xc + w]
            if len(face) > 0:
                resized = cv2.resize(face, dim)
                cropped_images_array.append(resized)

        return cropped_images_array

    def numpy_image_from_bytes(self, data):
        cv2img = cv2.imdecode(np.frombuffer(data, np.uint8), -1)
        self.cv2_image = cv2img
        np_rgb = cv2.cvtColor(cv2img.copy(), cv2.COLOR_BGR2RGB)
        return np_rgb

Line #    Mem usage    Increment  Occurrences   Line Contents
=============================================================
    23    796.0 MiB    796.0 MiB           1   @profile
    24                                         def crop_and_save(barr_img):
    25    797.3 MiB      1.3 MiB           1       np_arr = fd_worker.numpy_image_from_bytes(barr_img)
    26    805.3 MiB      8.0 MiB           1       cropped_arr = fd_worker.crop_faces_from_numpy_image(np_arr) - here is leakage
    27    805.5 MiB      0.2 MiB           1       fd_worker.save_images(cropped_arr)
    28    805.5 MiB      0.0 MiB           1       del np_arr
    29    805.5 MiB      0.0 MiB           1       del cropped_arr
    30    805.5 MiB      0.0 MiB           1       gc.collect()

Python 3.8