Added README

README.md

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+# Transformer-based Fine-Grained Fungi Classification in an Open-Set Scenario
+
+This repository is targeted towards solving the FungiCLEF 2023 (https://huggingface.co/spaces/competitions/FungiCLEF2023) challenge. It is based on MMPreTrain (https://github.com/open-mmlab/mmpretrain).
+
+## Usage
+
+### Installation
+
+```bash
+conda create -n fungi2023 python=3.10 pytorch=2.0.1 torchvision=0.15.2 pytorch-cuda=11.8 -c pytorch -c nvidia
+conda activate fungi2023
+pip install -r requirements.txt
+mim install "mmpretrain==1.0.0rc7"
+```
+
+### Data
+
+The challenge data has to be downloaded and put into _data/fungiclef2022/_.
+
+### Training
+
+```bash
+bash tools/dist_train.sh configs/swinv2_base_w24_b32x4-fp16_fungi+val_res_384_cb_epochs_6.py 4
+```
+
+### Inference on pre-trained models
+
+```bash
+python tools/test_generate_result_pre-consensus_tta.py models/swinv2_base_w24_b32x4-fp16_fungi+val_res_384_cb_epochs_6.py models/swinv2_base_w24_b32x4-fp16_fungi+val_res_384_cb_epochs_6_20230524-a251a50a.pth results.csv --threshold 0.2 --no-scores
+```