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- # Deploy in your labtop
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- The images with labels are now saved into results folder. Please collect them.
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- ```bash
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- # Afater cloning this branch
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- pip install -r requirements.txt
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- ```
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- # Inference Server
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- Start the server by
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-
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- ```bash
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- python main.py
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- ```
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- Test script
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- ```bash
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- import requests
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-
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- SERVER_URL = "http://localhost:7860"
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-
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- image_file = "20230825_122540_jpg.rf.f0620856e7afdbd116ceffdfd512b03a.jpg"
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-
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-
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- with open(image_file, 'rb') as f:
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- files = {'file': f}
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- response = requests.post(f"{SERVER_URL}/image", files=files)
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-
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- print(response.status_code)
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- print(response.json())
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-
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- ```
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- Mapping Name to ID
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- ```bash
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- name_to_id = {
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- "NA": 'NA',
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- "Bullseye": 10,
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- "One": 11,
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- "Two": 12,
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- "Three": 13,
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- "Four": 14,
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- "Five": 15,
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- "Six": 16,
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- "Seven": 17,
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- "Eight": 18,
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- "Nine": 19,
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- "A": 20,
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- "B": 21,
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- "C": 22,
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- "D": 23,
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- "E": 24,
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- "F": 25,
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- "G": 26,
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- "H": 27,
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- "S": 28,
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- "T": 29,
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- "U": 30,
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- "V": 31,
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- "W": 32,
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- "X": 33,
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- "Y": 34,
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- "Z": 35,
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- "Up": 36,
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- "Down": 37,
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- "Right": 38,
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- "Left": 39,
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- "Up Arrow": 36,
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- "Down Arrow": 37,
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- "Right Arrow": 38,
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- "Left Arrow": 39,
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- "Stop": 40}
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- ```
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- # Training
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- ```bash
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- git clone https://github.com/ultralytics/yolov5 # clone repo
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- cd yolov5
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- pip install -qr requirements.txt # install dependencies
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- ```
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- Prepare dataset, pretrained model and config
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- ```bash
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- data.yaml
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- !cp "Week_8.pt" "best.pt"
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- ```
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- Train
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-
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- # Demo Web
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- Now deployed In huggingface https://huggingface.co/spaces/Mahiruoshi/mdpg4
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- ## Test directly
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- ```
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- import requests
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-
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- url = "https://mahiruoshi-mdpg4.hf.space/" # 你的 Space 地址
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- file_path = "20230825_122540_jpg.rf.f0620856e7afdbd116ceffdfd512b03a.jpg"
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-
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- with open(file_path, "rb") as f:
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- files = {"file": f}
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- response = requests.post(url, files=files)
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-
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- print("Status:", response.status_code)
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- try:
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- print("Response:", response.json())
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- except:
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- print("Response:", response.text)
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- ```
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-
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- ```bash
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- # First time
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- python train.py --img 416 --batch 128 --epochs 150 --data E:/workspace/mdp/data.yaml --weights best.pt --cache
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-
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- #python train.py --img 416 --batch 128 --epochs 150 --data E:/workspace/mdp/data.yaml --weights best.pt --cache --hyp hyp.yaml
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- ```
 
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+ ---
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+ title: Mdpg4
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+ emoji: 🔥
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+ colorFrom: green
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+ colorTo: blue
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+ sdk: gradio
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+ sdk_version: 5.43.1
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+ app_file: app.py
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+ pinned: false
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+ ---
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference