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
125 lines
3.4 KiB
Python
125 lines
3.4 KiB
Python
import requests
|
|
import json
|
|
from common.logger import config
|
|
|
|
version = config.get('default', 'version')
|
|
if version == "local":
|
|
current_photo_service_url = 'http://192.168.1.57:32678/'
|
|
else:
|
|
current_photo_service_url = 'http://0.0.0.0:32678/'
|
|
|
|
def call_hair_infer(task_id, hair_id, hair_material_dir, infer_req, is_hr, inference_port):
|
|
url = f"{current_photo_service_url}api/hair/inference"
|
|
payload = json.dumps({
|
|
"task_id": task_id,
|
|
"hair_id": hair_id,
|
|
"hd_version_flag":is_hr,
|
|
"hair_material_dir": hair_material_dir,
|
|
"request_json": infer_req,
|
|
"inference_port": inference_port
|
|
})
|
|
headers = {
|
|
'Content-Type': 'application/json'
|
|
}
|
|
# print("---call infer payload:", payload)
|
|
|
|
response = requests.request("POST", url, headers=headers, data=payload)
|
|
|
|
# print(response.json())
|
|
|
|
return response.json()
|
|
|
|
def call_hair_infer_diy(task_id, infer_req, inference_port):
|
|
url = f"{current_photo_service_url}api/hair/inference_diy"
|
|
payload = json.dumps({
|
|
"task_id": task_id,
|
|
"request_json": infer_req,
|
|
"inference_port": inference_port
|
|
})
|
|
headers = {
|
|
'Content-Type': 'application/json'
|
|
}
|
|
# print("---call infer payload:", payload)
|
|
|
|
response = requests.request("POST", url, headers=headers, data=payload)
|
|
|
|
# print(response.json())
|
|
|
|
return response.json()
|
|
|
|
|
|
|
|
def call_hair_enhance(img_path, mask_path, task_id, in_gender):
|
|
url = "http://127.0.0.1:7393/hairEnhance/v1"
|
|
payload = json.dumps({
|
|
"img_path": img_path,
|
|
"mask_path": mask_path,
|
|
"req_id": task_id,
|
|
"gender": in_gender
|
|
})
|
|
headers = {
|
|
'Content-Type': 'application/json'
|
|
}
|
|
# print("---call infer payload:", payload)
|
|
|
|
response = requests.request("POST", url, headers=headers, data=payload)
|
|
|
|
# print(response.json())
|
|
|
|
return response.json()
|
|
|
|
def face_info(img_path):
|
|
url = "http://127.0.0.1:7393/faceInfo/v1"
|
|
payload = json.dumps({
|
|
"img": img_path,
|
|
"userId": 'fff',
|
|
"isLocal": True,
|
|
})
|
|
headers = {
|
|
'Content-Type': 'application/json'
|
|
}
|
|
# print("---call infer payload:", payload)
|
|
|
|
response = requests.request("POST", url, headers=headers, data=payload)
|
|
|
|
print(response.json())
|
|
|
|
return response.json()
|
|
|
|
def is_same(img_url1, img_url2):
|
|
url = "http://127.0.0.1:7393/faceInfo/same"
|
|
payload = json.dumps({
|
|
"img_url1": img_url1,
|
|
"img_url2": img_url2,
|
|
# "isLocal": True,
|
|
})
|
|
headers = {
|
|
'Content-Type': 'application/json'
|
|
}
|
|
# print("---call infer payload:", payload)
|
|
|
|
response = requests.request("POST", url, headers=headers, data=payload)
|
|
|
|
print(response.json())
|
|
|
|
return response.json()
|
|
|
|
def hair_select(img_url):
|
|
url = "http://127.0.0.1:7393/hairStyle/hair_select"
|
|
payload = json.dumps({
|
|
"img_url": img_url,
|
|
# "isLocal": True,
|
|
})
|
|
headers = {
|
|
'Content-Type': 'application/json'
|
|
}
|
|
# print("---call infer payload:", payload)
|
|
|
|
response = requests.request("POST", url, headers=headers, data=payload)
|
|
|
|
print(response.json())
|
|
|
|
return response.json()
|
|
# test_url = 'https://ydapp-1317132355.cos.ap-beijing.myqcloud.com/hair_mz/images/hairstyle/fb7d7a58-3228-40f2-84a6-337088ee31e2/2023031623425988.jpg'
|
|
# test_url = 'https://ydapp-1317132355.cos.ap-beijing.myqcloud.com/hair_mz/images/vaffflue12.png'
|
|
# hair_select(test_url) |