Object detection on images using yolo v3

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#machinelearning #deeplearning #opencv
In this video we'll use the yolo-v3 network implemented in the previous video to make detections on images.

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  1. Ayush Chaurasia
  2. machine learning
  3. deep learning
  4. computer vision
  5. artificial intelligence
  6. yolo
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Комментарии
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Thanks for great tutorial. Can you please let me know how can we evaluate the model in terms of mAP?

sohailali
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The whole explanation of the model from the scratch is pretty awesome. Just one request, can you please explain how to train yolov3 on our own custom dataset using only pytorch framework

shivamnigam
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hello Ayush chaurasia!
When is the next video coming ??
kindly upload it soon ..

nimraiqbal
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Hello Ayush chaurasia .. Your code is running well in Anaconda. thanks for it. I want to know, how I can get the coordinates of the bounding box ? please help ..

palashray
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How many milliseconds did it take for each image to compute, and what hardware were you using?

zvigoldstein
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please make a video on how to train on custom dataset

lakshmitejaswi
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Respected Ayush chaurasia!

plz share the complete code of your projct having all these files which you are showing on video..

thanks!!

nimraiqbal
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Hey... I'm currently working on activity detection project can you share the code of detection and preprocessing plzzzz

azgherkhan
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Why haven't you shown how to train YOLOv3?

anuragg
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bw = exp(tw) * pw
bh = exp(th) * ph
can u please explain this?

bhagyasriyelchuri