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adip-crowdCount

A crowd counting application based on the CSRNet benchmark

Datasets

ShanghaiTech Dataset: Google Drive

Prerequisites

Recommended environment: Anaconda.

Python: 3.7

PyTorch: 1.7.0

CUDA: 10.1

Ground Truth

Follow the main.ipynb to generate the ground truth. Note: you need to generate your own json file

Training

Run command python train.py train.json val.json 0 0 to start training process.

Validation

Follow the val.ipynb to try the validation.

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A crowd counting application based on the CSRNet architecture

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