RTSP bad image quality

[Xyprime]

Hello,

I am currently facing the problem that my rtsp stream gives bad image quality. I set up the camera(YI home 1080p) normaly like on the Website and used a python code(displayed at the end) to read the rtsp stream i use the high Res stream but still i get very bad image Qualtiy. Please give me some tips to enhance the image qualtiy. I use the Python code for face recognition. Python Code:

import cv2
import face_recognition
import pickle
import time
import os
import numpy as np

def load_known_encodings():
try:
with open("known_encodings.pkl", "rb") as file:
return pickle.load(file)
except FileNotFoundError:
return {}

def load_known_people_data():
try:
with open("known_people_data.pkl", "rb") as file:
return pickle.load(file)
except FileNotFoundError:
return {}

def draw_face_info(frame, name, confidence, extra_info, top, right, bottom, left):
outline_color = (0, 255, 0) if name != "Unknown" else (0, 0, 255)
fill_opacity = 0.3 if name == "Unknown" else 0

cv2.rectangle(frame, (left, top), (right, bottom), outline_color, cv2.FILLED)
cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 0), 2)

font = cv2.FONT_HERSHEY_DUPLEX
font_size = 0.8
font_thickness = 2

cv2.putText(frame, f"{name} ({confidence * 100:.1f}%)", (left + 6, bottom - 30), font, font_size, (0, 0, 0),
            font_thickness)

line_height = 20

if "age" in extra_info:
    cv2.putText(frame, f"Age: {extra_info['age']}", (left + 6, top + 20), font, font_size, (0, 0, 0),
                font_thickness)

if "gender" in extra_info:
    cv2.putText(frame, f"Gender: {extra_info['gender']}", (left + 6, top + 21 + line_height), font, font_size,
                (0, 0, 0), font_thickness)

if "race" in extra_info:
    cv2.putText(frame, f"Race: {extra_info['race']}", (left + 6, top + 22 + 2 * line_height), font, font_size,
                (0, 0, 0), font_thickness)

if "school" in extra_info:
    cv2.putText(frame, f"School: {extra_info['school']}", (left + 6, top + 22 + 3 * line_height), font, font_size,
                (0, 0, 0), font_thickness)

def recognize_faces(frame, known_encodings, known_people_data,i):
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
face_locations = face_recognition.face_locations(small_frame)
ret, frame1 = i.read()
face_encodings = face_recognition.face_encodings(small_frame, face_locations)

matches = {name: face_recognition.compare_faces(encodings, face_encoding, tolerance=0.6) for name, encodings in
           known_encodings.items() for face_encoding in face_encodings}

for face_encoding, (top, right, bottom, left) in zip(face_encodings, face_locations):
    name = "Unknown"
    confidence = 0
    extra_info = {}

    for person, match_list in matches.items():
        if any(match_list):
            confidence = match_list.count(True) / len(match_list)
            if confidence >= 0.95:
                name = person
                extra_info = known_people_data.get(name, {})
                break




    draw_face_info(frame, name, confidence, extra_info, top * 4, right * 4, bottom * 4, left * 4)

def main():
known_encodings = load_known_encodings()
known_people_data = load_known_people_data()
rtsp_url = 'rtsp://192.168.178.168/ch0_0.h264'

**video_capture = cv2.VideoCapture(rtsp_url)
start_time = time.time()****
frame_count = 0

while True:
    ret, frame = video_capture.read()

    recognize_faces(frame, known_encodings, known_people_data,video_capture)

    frame_count += 1
    elapsed_time = time.time() - start_time
    fps = frame_count / elapsed_time

    cv2.putText(frame, f"FPS: {fps:.2f}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)

    cv2.imshow('Video', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

video_capture.release()
cv2.destroyAllWindows()

if name == "main":
main()

[roleoroleo]

How is the quality if you use VLC?

[Xyprime]

it is the same on vlc and python

[Xyprime]

but the time diffrence between vlc and python is bigger python is like 10 seconds and vlc 2 seconds

[roleoroleo]

I recently made a lot of fixes in the RTSP server.
Tell me your model suffix, I will send a new beta release.

[Xyprime]

My Model is yi home 1080p

[Xyprime]

But I dont think it is an problem at your end neither at my end because the bad image qualtiy is the same even in the app but thanks for the help

[roleoroleo]

Ah ok. It's not a problem of frame corruption.

[nemonoid]

But I dont think it is an problem at your end neither at my end because the bad image qualtiy is the same even in the app but thanks for the help

Yes, the image quality on these cameras is not great, it's 1080p but the bitrate is quite low.
That said it can be OK, depending on the usercase..

[roleoroleo]

What your model suffix?
y21ga, h52ga, ...