xsl
443cfa298f
包含： - hair_service_sd: 主服务（换发型/换发色/生发，端口8801） - photo_service: LoRA调度+训练（端口32678） - hair_grow_service: 调试测试页（端口8888，含4个测试页） - 批量训练脚本（batch_train_hairstyles.py） - 发际线mask自动识别（hairline_mask.py，4种方案） - 手绘mask换发型（hair_swap_manual.py） - 文档：README.md + LARGE_FILES.md + docs/ 大文件（模型权重200G、训练数据123G）已排除，见 LARGE_FILES.md OSS/COS密钥已脱敏为环境变量，原文件备份在本地
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
import requests
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import cv2
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import numpy as np
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import base64
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import sys
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import json
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if __name__ == '__main__':
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path = './data/template01.png'
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img = cv2.imread(path)
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retval, bytes = cv2.imencode('.jpg', img)
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encoded_image = base64.b64encode(bytes).decode('utf-8')
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user_id = '61AB9097'
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#给api_service.py发送请求
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url = "http://i-2.gpushare.com:53412/user/generate"
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payload = json.dumps({
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"user_id": "61AB9097",
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"base_img": encoded_image
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})
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headers = {
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'Content-Type': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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if response.status_code != 200:
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raise RuntimeError(f"Failed to send request to API service. Status code: {response.status_code}")
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ret_image_b64 = response.json().get('generate_photo_b64')
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if ret_image_b64 is None:
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raise RuntimeError(f"ret image failed!")
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image_array = np.frombuffer(base64.b64decode(ret_image_b64), np.uint8)
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image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
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cv2.imshow('image', cv2.resize(image, (0, 0), fx=0.5, fy=0.5))
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cv2.waitKey() |