Comments (4)
arunponnusamy
commented on September 22, 2024
2
Hi, I have added tiny yolo for real time object detection. Just specify the model yolov3-tiny while calling the function detect_common_objects( ). It is significantly fast but the detection accuracy / recall is very less compared to original yolov3 version. Checkout the example here https://github.com/arunponnusamy/cvlib/blob/master/examples/object_detection_webcam_yolov3_tiny.py
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arunponnusamy
commented on September 22, 2024
Hello @pliablepixels , glad that you are finding the library useful. I am currently working on adding tiny yolo. Will be out in the next release soon. Watch this space for updates. Cheers.
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AlexanderMelde
commented on September 22, 2024
Hey Arun, nice to see you are working on it, is there anything we could help you with? I would love to try out the tinyyolo version.
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rkantos
commented on September 22, 2024
I am also interested in tinyyolo.. also yolo9000… Should they just work if I change to the respective cfg, weights and labels to either one?
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Related Issues (20)
- object Detection color HOT 2
- is there anyway i can detect house in the image HOT 1
- The 'cvlib' distribution was not found and is required by the application in PyInstaller HOT 2
- What dataset have you used to make face detector part of this model? HOT 1
- Count objects detected using cvlib HOT 2
- ModuleNotFoundError HOT 3
- draw_bbox() Line size is fixed at a value of 2 pixels HOT 1
- No face detected in image HOT 1
- The recognition rate of pictures taken by wide-angle lens is low
- yolov4 HOT 4
- Invalid bounding boxes returned occasionally HOT 1
- Is there a way of using face recognition?
- How to add text as object to be detected
- Live Face Detect
- Unable to execute object_detection HOT 7
- library not working
- About Error invalid index to scalar variable in object_detection.py HOT 1
- Add requirements.txt
- 'str' object has no attribute 'shape' HOT 13
- This module is officially broken now with any of the latest python versions, eg python version higher than 3.9 HOT 2
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