69 lines
2.5 KiB
Python
69 lines
2.5 KiB
Python
#!/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 logging
|
||
from datetime import timedelta
|
||
|
||
import cv2
|
||
import numpy as np
|
||
import tritonclient.grpc as grpcclient
|
||
from minio import Minio
|
||
from tritonclient.utils import np_to_triton_dtype
|
||
|
||
from app.core.config import *
|
||
from app.service.utils.oss_client import oss_upload_image
|
||
|
||
logger = logging.getLogger()
|
||
|
||
|
||
class GenerateImage:
|
||
def __init__(self):
|
||
self.grpc_client = grpcclient.InferenceServerClient(url=GI_MODEL_URL)
|
||
self.image = np.random.randint(0, 256, (1024, 1024, 3), dtype=np.uint8)
|
||
self.batch_size = 1
|
||
self.mode = 'txt2img'
|
||
self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
|
||
|
||
def get_result(self, prompt):
|
||
prompts = [prompt] * self.batch_size
|
||
modes = [self.mode] * self.batch_size
|
||
images = [self.image.astype(np.float16)] * self.batch_size
|
||
|
||
text_obj = np.array(prompts, dtype="object").reshape((-1, 1))
|
||
mode_obj = np.array(modes, dtype="object").reshape((-1, 1))
|
||
image_obj = np.array(images, dtype=np.float16).reshape((-1, 1024, 1024, 3))
|
||
|
||
input_text = grpcclient.InferInput("prompt", text_obj.shape, np_to_triton_dtype(text_obj.dtype))
|
||
input_image = grpcclient.InferInput("input_image", image_obj.shape, np_to_triton_dtype(image_obj.dtype))
|
||
input_mode = grpcclient.InferInput("mode", mode_obj.shape, np_to_triton_dtype(mode_obj.dtype))
|
||
|
||
input_text.set_data_from_numpy(text_obj)
|
||
input_image.set_data_from_numpy(image_obj)
|
||
input_mode.set_data_from_numpy(mode_obj)
|
||
|
||
inputs = [input_text, input_image, input_mode]
|
||
result = self.grpc_client.infer(model_name=GI_MODEL_NAME, inputs=inputs)
|
||
image = result.as_numpy("generated_image")
|
||
image_result = cv2.cvtColor(np.squeeze(image.astype(np.uint8)), cv2.COLOR_RGB2BGR)
|
||
_, img_byte_array = cv2.imencode('.jpg', image_result)
|
||
object_name = f'test.jpg'
|
||
req = oss_upload_image(bucket='test', object_name=object_name, image_bytes=img_byte_array)
|
||
url = self.minio_client.get_presigned_url(
|
||
"GET",
|
||
"test",
|
||
object_name,
|
||
expires=timedelta(hours=2),
|
||
)
|
||
return url
|
||
|
||
|
||
if __name__ == '__main__':
|
||
server = GenerateImage()
|
||
print(server.get_result("rabbit"))
|