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Faster RCNN trained for detecting objects from drone views.

License: MIT License

Dockerfile 0.70% Python 89.38% C++ 3.83% Cuda 6.08%

drone_fasterrcnn's People

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drone_fasterrcnn's Issues

outdated docker dependencies

๐Ÿ› Bug

Dependencies in the Dockerfile are out of date.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the source of miniconda.sh is out of date, used https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh instead.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.

To Reproduce

Try to build the docker image from the file :)

Expected behavior

error

Environment

I ran on Ubuntu, but this ain't the point now.

How to reproduce your sample output video

โ“ Questions and Help

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.

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