Do not skip frames

README.md

@@ -1,40 +1,21 @@
 # People Counter with YOLOv8, ByteTrack, and Prometheus
 
-This project implements a real-time people counting system based on object detection and tracking using [YOLOv8](https://github.com/ultralytics/ultralytics) and [ByteTrack](https://github.com/ifzhang/ByteTrack). It supports **RTSP input**, **in/out counting** using a vertical line, and exposes **Prometheus metrics** for integration with monitoring systems.
+This project implements a real-time people counting system based on object detection and tracking using [YOLOv8](https://github.com/ultralytics/ultralytics) and [ByteTrack](https://github.com/ifzhang/ByteTrack). It supports **MJPEG input**, **in/out counting** using either a vertical or a horizontal line, and exposes **Prometheus metrics** for integration with monitoring systems.
 
 ## 🚀 Features
 
-- 🎥 RTSP camera stream input
+- 🎥 MJPEG camera stream input
 - 🧠 YOLOv8 person detection
 - 🔁 ByteTrack object tracking
-- ➕➖ In/Out counting via virtual vertical line
+- ➕➖ In/Out counting via virtual line
 - 📊 Prometheus metrics at `http://localhost:9100/`
-- 🌐 Streamlit UI for live video and statistics
+- 🌐 Web UI for live video and statistics
 
-## Start mediamtx
+## Start MJPEG stream from webcam
 
-```
-mediamtx
-```
-
-## Stream webcam
-
-```
-ffmpeg \
-    -vaapi_device /dev/dri/renderD128 \
-    -y \
-    -f v4l2 \
-    -framerate 30 \
-    -video_size 1280x720 \
-    -input_format mjpeg \
-    -i /dev/video0 \
-    -vf 'format=nv12,hwupload' \
-    -c:v h264_vaapi \
-    -f rtsp \
-    rtsp://localhost:8554/cam
-```
+mjpg_streamer -i "input_uvc.so -d /dev/video0 -r 1280x720 -f 30" -o "output_http.so -p 8080"
 
 ## Run application
 ```
-streamlit run streamlit_app.py
+uvicorn main:app --host 0.0.0.0 --port 8000
 ```

tracker.py

@@ -15,7 +15,6 @@ STREAMS = {
     "Kasse 2": "http://192.168.11.230:8080?action=stream",
 }
 
-FRAME_SKIP = 2
 model = YOLO("yolo_weights/yolo11n.pt")
 
 latest_frames = {}
@@ -26,7 +25,6 @@ def process_stream(stream_id, url):
     line_orientation = "vertical"
     counter = Counter(stream_id, line_orientation, metrics)
     cap = cv2.VideoCapture(url)
-    frame_idx = 0
 
     while cap.isOpened():
         ret, frame = cap.read()
@@ -36,9 +34,6 @@ def process_stream(stream_id, url):
 
         height, width, _ = frame.shape
 
-        frame_idx += 1
-        if frame_idx % FRAME_SKIP != 0:
-            continue
 
         try:
             results = model.track(