*Check other tutorials:* Custom YOLOv4 Object Detection with TensorFlow and TFLite th-cam.com/video/vzTCJM18uoM/w-d-xo.html Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet) th-cam.com/video/-NEB5P-SLi0/w-d-xo.html Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset) th-cam.com/video/sKDysNtnhJ4/w-d-xo.html YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT th-cam.com/video/tCmC7nyfJp8/w-d-xo.html Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams th-cam.com/video/FE2GBeKuqpc/w-d-xo.html YOLOv3 and YOLOv4 Object Detection on Webcam and Videos Using OpenCV | Windows Linux th-cam.com/video/FjyF03uawsA/w-d-xo.html Build and Install OpenCV 4.4.1 With CUDA (GPU) Support on Windows 10 th-cam.com/video/tjXkW0-4gME/w-d-xo.html Install TensorFlow GPU and PyTorch with CUDA on Windows 10 Anaconda | CUDA 10.1 cuDNN 7.6 th-cam.com/video/PlW9zAg4cx8/w-d-xo.html
and please for surveillance video is yolo is the best choice for me to track person ( the fastest ) and what to choose yolo with open cv or yolo with tensorflow
No these are two different things. Tracking means we should be able to recognize that a particular detected object is the same, when we detect it again.
Thank you for the wonderful video. Could I ask a question which is how to run the track_objects.py directly with IDLE? (I don't want to use the cmd window) Thank you
How can i get counted people that cross the street? The problem is - there is a counter that much bigger, than actual people on the videos i put through this algorithm. Please, help
*Check other tutorials:*
Custom YOLOv4 Object Detection with TensorFlow and TFLite
th-cam.com/video/vzTCJM18uoM/w-d-xo.html
Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet)
th-cam.com/video/-NEB5P-SLi0/w-d-xo.html
Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset)
th-cam.com/video/sKDysNtnhJ4/w-d-xo.html
YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT
th-cam.com/video/tCmC7nyfJp8/w-d-xo.html
Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams
th-cam.com/video/FE2GBeKuqpc/w-d-xo.html
YOLOv3 and YOLOv4 Object Detection on Webcam and Videos Using OpenCV | Windows Linux
th-cam.com/video/FjyF03uawsA/w-d-xo.html
Build and Install OpenCV 4.4.1 With CUDA (GPU) Support on Windows 10
th-cam.com/video/tjXkW0-4gME/w-d-xo.html
Install TensorFlow GPU and PyTorch with CUDA on Windows 10 Anaconda | CUDA 10.1 cuDNN 7.6
th-cam.com/video/PlW9zAg4cx8/w-d-xo.html
I would like a series on how these algo's work(high level overview of code), helps to understand much better. Please make it happen. Thanks
Thank you once again Coding Bug, Im your all-time big fan!! You are the best.
Your videos saved my project :) thank you!
I am glad I could help!
Thank you, this is really a helpfull tutorial.
Why did I follow every step of your video, and the final output video didn't produce a correctly tracked bounding box like you did?
It only works for TF2.3.1.... use the updated tutorial on YOLOv7 tracking.
@@TheCodingBug OK, thank you Because I'm new to this field, i will watch your new video
and please for surveillance video is yolo is the best choice for me to track person ( the fastest )
and what to choose
yolo with open cv
or
yolo with tensorflow
Use YOLO TensorFlow with DeepSort for tracking.
I have a question, are traking and detection the same? thank you so much
No these are two different things.
Tracking means we should be able to recognize that a particular detected object is the same, when we detect it again.
.Hi sir, could you help me in my project, I would buy you coffee, do you have telegram, we could exchange on there
Thanks for your valuable content.
I hope it's helpful.
Thank you for the wonderful video.
Could I ask a question which is how to run the track_objects.py directly with IDLE? (I don't want to use the cmd window)
Thank you
Hi is there anything we need to change if we are loading in our custom weight files?
You need to covert custom weights to TF. That's all. I'll soon make YOLOv7 based object tracking video.
Awesome, do you know how can I implement tracking on android? I haven't found information :(
How can i get counted people that cross the street? The problem is - there is a counter that much bigger, than actual people on the videos i put through this algorithm. Please, help
hey man i want to run video from ip camera (real time ) how can ?
and thank you bro
Instead of the video path, provide path to your ip camera stream.
Rep, stream = cv2.VideoCapture(0)