2025-01-08 15:44:59 +08:00
|
|
|
|
#!/usr/bin/env python
|
|
|
|
|
|
# -*- coding: UTF-8 -*-
|
|
|
|
|
|
"""
|
|
|
|
|
|
@Project :trinity_client
|
|
|
|
|
|
@File :service_att_recognition.py
|
|
|
|
|
|
@Author :周成融
|
|
|
|
|
|
@Date :2023/7/26 12:01:05
|
|
|
|
|
|
@detail :
|
|
|
|
|
|
"""
|
|
|
|
|
|
import json
|
|
|
|
|
|
import logging
|
|
|
|
|
|
import time
|
|
|
|
|
|
|
|
|
|
|
|
import numpy as np
|
|
|
|
|
|
import redis
|
|
|
|
|
|
import tritonclient.grpc as grpcclient
|
|
|
|
|
|
|
|
|
|
|
|
from app.core.config import *
|
|
|
|
|
|
from app.schemas.generate_image import GenerateMultiViewModel
|
2025-06-24 16:58:05 +08:00
|
|
|
|
from app.service.generate_image.utils.mq import publish_status
|
2025-01-08 15:44:59 +08:00
|
|
|
|
from app.service.generate_image.utils.upload_sd_image import upload_png_sd
|
|
|
|
|
|
from app.service.utils.oss_client import oss_get_image
|
|
|
|
|
|
|
|
|
|
|
|
logger = logging.getLogger()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class GenerateMultiView:
|
|
|
|
|
|
def __init__(self, request_data):
|
|
|
|
|
|
self.grpc_client = grpcclient.InferenceServerClient(url=GMV_MODEL_URL)
|
|
|
|
|
|
self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
|
|
|
|
|
|
self.image = self.get_image(request_data.image_url)
|
|
|
|
|
|
self.tasks_id = request_data.tasks_id
|
|
|
|
|
|
self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
|
|
|
|
|
|
self.generate_data = {'tasks_id': self.tasks_id, 'status': 'PENDING', 'message': "pending", 'image_url': ''}
|
|
|
|
|
|
self.redis_client.set(self.tasks_id, json.dumps(self.generate_data))
|
|
|
|
|
|
self.redis_client.expire(self.tasks_id, 600)
|
|
|
|
|
|
|
|
|
|
|
|
def get_image(self, image_url):
|
|
|
|
|
|
try:
|
|
|
|
|
|
image = oss_get_image(bucket=image_url.split('/')[0], object_name=image_url[image_url.find('/') + 1:], data_type="PIL")
|
|
|
|
|
|
return image
|
|
|
|
|
|
except Exception as e:
|
|
|
|
|
|
logger.error(e)
|
|
|
|
|
|
|
|
|
|
|
|
def callback(self, result, error):
|
|
|
|
|
|
if error:
|
|
|
|
|
|
self.generate_data['status'] = "FAILURE"
|
|
|
|
|
|
self.generate_data['message'] = str(error)
|
|
|
|
|
|
self.redis_client.set(self.tasks_id, json.dumps(self.generate_data))
|
|
|
|
|
|
else:
|
|
|
|
|
|
# pil图像转成numpy数组
|
|
|
|
|
|
images = result.as_numpy("generated_image")
|
|
|
|
|
|
image_url = upload_png_sd(images[6], user_id=self.user_id, category="multi_view", file_name=f"{self.tasks_id}.png")
|
|
|
|
|
|
self.generate_data['status'] = "SUCCESS"
|
|
|
|
|
|
self.generate_data['message'] = "success"
|
|
|
|
|
|
self.generate_data['image_url'] = str(image_url)
|
|
|
|
|
|
self.redis_client.set(self.tasks_id, json.dumps(self.generate_data))
|
|
|
|
|
|
|
|
|
|
|
|
def read_tasks_status(self):
|
|
|
|
|
|
status_data = self.redis_client.get(self.tasks_id)
|
|
|
|
|
|
return json.loads(status_data), status_data
|
|
|
|
|
|
|
|
|
|
|
|
def get_result(self):
|
|
|
|
|
|
try:
|
|
|
|
|
|
images = [np.array(self.image).astype(np.uint8)] * 1
|
|
|
|
|
|
|
|
|
|
|
|
image_obj = np.array(images, dtype=np.uint8)
|
|
|
|
|
|
|
|
|
|
|
|
input_image = grpcclient.InferInput("input_image", image_obj.shape, "UINT8")
|
|
|
|
|
|
|
|
|
|
|
|
input_image.set_data_from_numpy(image_obj)
|
|
|
|
|
|
|
|
|
|
|
|
inputs = [input_image]
|
|
|
|
|
|
ctx = self.grpc_client.async_infer(model_name=GMV_MODEL_NAME, inputs=inputs, callback=self.callback)
|
|
|
|
|
|
|
|
|
|
|
|
time_out = 600
|
|
|
|
|
|
generate_data = None
|
|
|
|
|
|
while time_out > 0:
|
|
|
|
|
|
generate_data, _ = self.read_tasks_status()
|
|
|
|
|
|
if generate_data['status'] in ["REVOKED", "FAILURE"]:
|
|
|
|
|
|
ctx.cancel()
|
|
|
|
|
|
break
|
|
|
|
|
|
elif generate_data['status'] == "SUCCESS":
|
|
|
|
|
|
break
|
|
|
|
|
|
time_out -= 1
|
|
|
|
|
|
time.sleep(0.1)
|
|
|
|
|
|
return generate_data
|
|
|
|
|
|
except Exception as e:
|
|
|
|
|
|
self.generate_data['status'] = "FAILURE"
|
|
|
|
|
|
self.generate_data['message'] = str(e)
|
|
|
|
|
|
self.redis_client.set(self.tasks_id, json.dumps(self.generate_data))
|
|
|
|
|
|
raise Exception(str(e))
|
|
|
|
|
|
finally:
|
|
|
|
|
|
dict_generate_data, str_generate_data = self.read_tasks_status()
|
2025-06-24 16:58:05 +08:00
|
|
|
|
if not DEBUG:
|
|
|
|
|
|
publish_status(str_generate_data, GMV_RABBITMQ_QUEUES)
|
2025-01-08 15:44:59 +08:00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def infer_cancel(tasks_id):
|
|
|
|
|
|
redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
|
|
|
|
|
|
data = {'tasks_id': tasks_id, 'status': 'REVOKED', 'message': "revoked", 'data': 'revoked'}
|
|
|
|
|
|
generate_data = json.dumps(data)
|
|
|
|
|
|
redis_client.set(tasks_id, generate_data)
|
|
|
|
|
|
return data
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
|
|
|
|
rd = GenerateMultiViewModel(
|
|
|
|
|
|
tasks_id="123-89",
|
|
|
|
|
|
image_url="aida-sys-image/images/female/outwear/0628000123.jpg",
|
|
|
|
|
|
)
|
|
|
|
|
|
server = GenerateMultiView(rd)
|
|
|
|
|
|
print(server.get_result())
|