Alexey

* ResNet50/101 or YOLOv4/YOLOR are more suitable for processing large batches at **high FPS**, while shallow networks are more suitable for **low Latency**. Batch processing cannot reduce latency in any...

@jinfagang Thanks for good questions! Currently Deep networks with higher batch size and resolution have higher FPS than Non-deep networks, but higher batch size doesn't reduce Latency. But real-time systems...

@jinfagang I think that `Latency_batch1` (and the same `FPS_batch1`) is the most important metric for comparing the speed of neural networks, because `Latency = 1000ms / FPS` is true only...

Yes, maybe it makes sense to add `loss_ota` to the end of `meta`.

Both were tested on the same nVidia GPU Tesla V100 using this Docker image https://github.com/WongKinYiu/yolov7#installation and this command: ``` python test.py --data data/coco.yaml --img 1280 --batch 1 --conf 0.001 --iou...

I use in this way: `./darknet detector demo cfg/voc.data cfg/yolo-voc.cfg yolo-voc.weights rtsp://login:[email protected]:554 -i 0` More: https://github.com/AlexeyAB/darknet#how-to-use

@sumeet9096 Try to use this command: https://stackoverflow.com/questions/20613453/warning-could-not-find-codec-parameters-modules-highgui-src-cap-ffmpeg-i `./darknet detector demo cfg/voc.data cfg/yolo-voc.cfg yolo-voc.weights rtsp://login:[email protected]:554?dummy=param.mjpg` Also can you see this rtsp-stream by using VLC video player or other soft?

Is your problem in compilation, training or detection?

* Do you mean that you could not compile darknet in 12 weeks? * Can you give some good instructions on another machine learning framework and object-detection neural network that...

* Did you read requirements? https://github.com/AlexeyAB/darknet#requirements * It can't use AMD graphic card, since it requires nVidia GPU https://en.wikipedia.org/wiki/CUDA#GPUs_supported * It requires OpenCV installation, run `sudo apt-get install libopencv-dev` *...