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pLitter is a standardized, deep learning friendly dataset and pre-trained model that can be used for detecting plastic litter in streets , road-sides, etc. Additionally, all supplementary codes related to this repository are also published here.

Python 40.23% JavaScript 0.82% Jupyter Notebook 58.95%
computer-vision deep-learning litter litter-mapping object-detection opensourcedataset plastic plastic-pollution trash

plitter's People

Contributors

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plitter's Issues

Demo Files/Documentation.

I'm interested in trying out the library and trying to walk through the demo. There's no documentation as mentioned in pLitter/demo/pLitterStreet_demo.ipynb: "A video file and GPS track file in CSV format is must. Check out the documentation for preparing it." And I can't seem to download the sample data from the google drive. I think it has been removed. Thanks.

Inhomogeneous shape

I run start.sh in cctv branch with your test.jpg image but I have this issue:

Traceback (most recent call last):
File "cctv/capture_track.py", line 247, in
tracker_preds = tracker.update(preds, curr_frame)
File "/dev/plitter/./Yolov5_StrongSORT_OSNet/trackers/strong_sort/strong_sort.py", line 91, in update
outputs.append(np.array([x1, y1, x2, y2, track_id, class_id, conf, queue]))
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (8,) + inhomogeneous part.

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