Deep-SORT-YOLOv4
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LeonLok
People detection and optional tracking with Tensorflow backend.
When i run this code with tensorflow-cpu 2.4 ，the result is diffrent from tensorflow-gpu 2.3. How can I change the code and run it with tensorflow-cpu？
Hi I have a problem when converting my model to a .h5 file using the convert file. I had no problems converting from a model trained with yolov4 so I'm...
Hi, I'm trying to find last location of tracked object on IP Camera with adding object id and tracked loc taked from to_tlbr() function than grouped locations according to id's...
Hello, dear contributers. I installed all dependencies from your requirments.txr manually(because I have windows), but I have got I lot of version incompatibilities (with keras, tensorflow). Please, could you send...
Thanks for this work, How can i do asynchronous mode with two cams in the same time??
So why does `videocaptureasync.py` have NoneType? And how to fix this error? While running asynchronous mode it kind of works and goes through `while` loop in `demo.py` . From the...
 I trained yolov4 for vehicle include : 4 classs ( truck, car,bus,motorbike) and cosine-softmax for Deep SORT The trained-model indicate a good trainning process. But, when i have pipeline...
convert.py, line 128, in load_yolo conv_weights = np.ndarray( TypeError: buffer is too small for requested array
Hi. I'm using Tensorflow 2.0.0 version and I had some problems with convert.py At every line with `np.ndarray(shape=(1,), dtype='int32') #buffer=weights_file.read(4)` I obtained the following error: `TypeError: buffer is too small...
Hi Leon! Thank you for the great work. I couldn't find a way to extract tracking output if YOLO didn't detect the object. In other words, I want to get...
