simple-faster-rcnn-pytorch
mobilenets-ssd-pytorch
simple-faster-rcnn-pytorch | mobilenets-ssd-pytorch | |
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1 | 1 | |
3,891 | 92 | |
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0.0 | 1.8 | |
almost 3 years ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | - |
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simple-faster-rcnn-pytorch
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ISO Easy to Modify and Use Faster RCNN PyTorch Implementation
Hi all, as the title suggests I'm looking for a GitHub repo where I can edit a Faster RCNN implementation rather easily. I'm basically looking to test an idea where I have multiple branches with feature map and bounding boxes as inputs. I've modified the built-in torchvision implementation once before, but I think it's a little more complicated than I like, and I'd rather not release the entire torchvision package as part of my own work in the future. I have looked briefly into this repo https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/master/trainer.py but it only supports a batch size of 1, and I'm not sure what it'd take to expand that capability. Is there anything better out there?
mobilenets-ssd-pytorch
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Mobilenet SSD pytorch custom data set implementation
Hi, Like this one https://github.com/tranleanh/MobileNets-SSD-PyTorch ?
What are some alternatives?
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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
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automl - Google Brain AutoML
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