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View Code? Open in Web Editor NEWFaster RCNN trained for detecting objects from drone views.
License: MIT License
Faster RCNN trained for detecting objects from drone views.
License: MIT License
Dependencies in the Dockerfile are out of date. Realised after a heavy debugging session:
the source of miniconda.sh is out of date, used https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh instead.
Moreover, torchvision shall be installed via conda! (Also produces errors)
I recommend to revise all dependencies.
Try to build the docker image from the file :)
error
I ran on Ubuntu, but this ain't the point now.
Hi I am currently using ur pretrained model and inferencing on visdrone test dev dataset.Also same model I have incorporated into
online tracking application.I am not sure how to improve the performance for this model?could you guide?what are the instances I need to use?
I am a novice of CV, Can you provide your source code of video segmentation and combination? Like how to detect from video or you can give me some references to look at.
I was wondering how well your detector performs on the test set. Can you tell us your AP-score?
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