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License: Apache License 2.0

Shell 1.01% C++ 4.18% Python 88.17% C 3.66% Cuda 2.87% Makefile 0.11%

detectron-pytorch's Introduction

Detectron-PYTORCH

Play with state-of-the-art pedestrian detectors.

Requirements

  1. pytorch
  2. tensorflow (only tensorboard is used)
  3. tensorboardX
    pip install tensorboardX
    
  4. visdom
    pip install visdom
    

Installation

  1. Compiling libs
    cd ./libs
    make
  2. citypersons and cityscape dataset: download coco and extract zips under ./data/citypersons/, so your dirs look like,
    ./data/
            data/citypersons/{annotations}
            data/citypersons/cityscape
                data/citypersons/cityscape/leftImg8bit/{train|val|test}
                data/citypersons/cityscape/gtFine/{train|val|test}

Create citypersons extended dataset

```bash
    python libs/datasets/citypersons2.py
```

Training and evaluation models

```bash
sh ./exper/citypersons/retinanet/train_test_resnet50_softmax.sh
```

detectron-pytorch's People

Contributors

charlesshang avatar

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