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pytorchfasterrcnn 0.2.1
Pytorch Faster RCNN
Faster RCNN Fine-Tune Implementation in Pytorch.
How to use ?
git clone the repo
git clone https://github.com/oke-aditya/pytorch_fasterrcnn.git
Install PyTorch and torchvision for your system.
Simply edit the config file to set your hyper parameters.
Keep the training and validation csv file as follows
NOTE
Do not use target as 0 class. It is reserved as background.
image_id xtl ytl xbr ybr target
1 xmin ymin xmax ymax 1
1 xmin ymin xmax ymax 2
2 xmin ymin xmax ymax 3
Simply edit the config file to set your hyper parameters
Run the train.py file
Features: -
It works for multiple class object detection.
Backbones Supported: -
Note that backbones are pretrained on imagenet.
Following backbones are supported
vgg11, vgg13, vgg16, vgg19
resnet18, resnet34, resnet50, resnet101, resnet152
renext101
mobilenet_v2
Sample Outputs
Helmet Detector
Mask Detector
If you like the implemenation or have taken an inspiration do give a star :-)
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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