Comments (5)
LeonLok
commented on May 11, 2024
I think you would have to remove ImageHub from the server_thread in base_camera.py and change the loop logic in camera_server.py.
In this case, you don't need to use the ImageZMQ library and camera_client files anymore.
I might add another version of base_camera.py later if people want one, but I think it's relatively simple to change. Please let me know if that works for you.
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byq-luo
commented on May 11, 2024
I think you would have to remove ImageHub from the server_thread in base_camera.py and change the loop logic in camera_server.py.
In this case, you don't need to use the ImageZMQ library and camera_client files anymore.
I might add another version of base_camera.py later if people want one, but I think it's relatively simple to change. Please let me know if that works for you.
Yes，You are right. I really appreciate your help.
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LeonLok
commented on May 11, 2024
Glad I could help!
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SarahAlhumud
commented on May 11, 2024
I think you would have to remove ImageHub from the server_thread in base_camera.py and change the loop logic in camera_server.py.
In this case, you don't need to use the ImageZMQ library and camera_client files anymore.
I might add another version of base_camera.py later if people want one, but I think it's relatively simple to change. Please let me know if that works for you.Yes，You are right. I really appreciate your help.
@byq-luo please, can you upload your modification on the code. I was trying but the result 'YOLO stream 1' isn't shown on browser despite the video 'Camera stream 1' is shown.
Thank you. I’m looking forward to your help.
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phungthengoc
commented on May 11, 2024
.
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Related Issues (20)
- Have you published a paper? HOT 1
- Id assignment management across cameras HOT 1
- error trying to create environment on ubuntu 18.04 HOT 1
- What version of Anaconda are you using
- module 'tensorflow' has no attribute 'Session' HOT 4
- Weights yolo4.h5 HOT 1
- IDE HOT 1
- > > The yolo_frames method in camera_yolo.py takes the frames from the ('camera', '0') stream and then applies YOLO and tracking to each frame. These are then used in the yolo_thread method in base_camera.py. HOT 1
- DeepSORT tracker performing worse than SORT HOT 2
- Training the dataset after converting to Market1501 dataset
- Seperate trackers for streams? HOT 1
- purpose of the variable max_track_id
- Cannot feed value of shape (1, 160, 224, 3) for Tensor 'input_1:0', which has shape '(?, 608, 608, 3)' HOT 2
- yolo stream HOT 3
- How to avoid same object being counted twice HOT 1
- Frozen Yolo HOT 2
- using usb cameras
- AttributeError: 'NoneType' object has no attribute 'flags'
- KeyError: ('Yolo', '0') and KeyError ('Yolo', '1') HOT 4
- Enhancement of Vehicle Detection Accuracy for Non-Chinese Traffic Contexts
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