YOLOv7 - Object Detection (ONNX)

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YOLOv7 - Object Detection (ONNX)

Model: YOLOv7 (1280x736)
Inference speed: ~12 fps (Nvidia 1660 SUPER, onnxruntime-gpu)
Min conf.: 0.5

#onnx #objectdetection #python #computervision #yolo #yolov7
  1. Ibai Gorordo
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Комментарии
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do you have any tutorial for training on custom data?

JoelPrabhod
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hey, thanks for the video. I have been working for vision and object detection for sometime, it's mostly research based. May you please let me know how to use a pre-trained model (for example I am using yolov7 detect + SORT track) and test it on my videos. I have added a few utility functions to get the desired output for example - count of objects etc.. I want to know how can I use traced.pt (that gets generated after every inference) to ONXX ?

AmitKumar-hmgx
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Also, my detect+track (v7+SORT) works fine for input videos. When I have my source as Youtube link, it streams the output and the detection + tracking happens. however once the video length is appear, there appears a black screen and the cell execution never stops and I believe because the execution never stops, the output never gets saved. Have you faced this issue ? or are aware of any solutions for this.

AmitKumar-hmgx
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Also, let's say tomorrow I don't want YT as my source of video and maybe someother website, do we have to explicitly write code for it the way it's mentioned for YT using pafy and youtube dl in v7 source code?

AmitKumar-hmgx
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Something I've been wondering about- does yolo output not include audio information?

alexanderborschel
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Also, is there any advantage of ONXX vs TorchScript as I believe both are the scripted formats to export PyTorch models for faster inference on devices/environments without Python dependency (please correct me if I am wrong). In which real-world use case one would prefer over the other.

AmitKumar-hmgx
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very brilliant! I am very curious about how you simplified embedded system on a remote control car!!

cjhuang