feat generate single logo 部署
This commit is contained in:
@@ -41,6 +41,11 @@ MINIO_ACCESS = 'vXKFLSJkYeEq2DrSZvkB'
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MINIO_SECRET = 'uKTZT3x7C43WvPN9QTc99DiRkwddWZrG9Uh3JVlR'
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MINIO_SECRET = 'uKTZT3x7C43WvPN9QTc99DiRkwddWZrG9Uh3JVlR'
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MINIO_SECURE = True
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MINIO_SECURE = True
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# S3 配置
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S3_ACCESS_KEY = "AKIAVD3OJIMF6UJFLSHZ"
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S3_AWS_SECRET_ACCESS_KEY = "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"
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S3_REGION_NAME = "ap-east-1"
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# redis 配置
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# redis 配置
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REDIS_HOST = "10.1.1.240"
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REDIS_HOST = "10.1.1.240"
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REDIS_PORT = "6379"
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REDIS_PORT = "6379"
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@@ -107,6 +112,9 @@ GI_SYS_IMAGE_URL = "aida-sys-image/generate_image/white_image.jpg"
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SLOGAN_RABBITMQ_QUEUES = os.getenv("SLOGAN_RABBITMQ_QUEUES", f"Slogan{RABBITMQ_ENV}")
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SLOGAN_RABBITMQ_QUEUES = os.getenv("SLOGAN_RABBITMQ_QUEUES", f"Slogan{RABBITMQ_ENV}")
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# Generate Single Logo service config
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# Generate Single Logo service config
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GSL_MODEL_URL = '10.1.1.240:10051'
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GSL_MINIO_BUCKET = "aida-users"
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GSL_MODEL_NAME = 'stable_diffusion_xl'
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GEN_SINGLE_LOGO_RABBITMQ_QUEUES = os.getenv("GEN_SINGLE_LOGO_RABBITMQ_QUEUES", f"GenSingleLogo{RABBITMQ_ENV}")
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GEN_SINGLE_LOGO_RABBITMQ_QUEUES = os.getenv("GEN_SINGLE_LOGO_RABBITMQ_QUEUES", f"GenSingleLogo{RABBITMQ_ENV}")
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# Generate Single Logo service config
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# Generate Single Logo service config
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@@ -13,7 +13,7 @@ class GenerateImageModel(BaseModel):
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class GenerateSingleLogoImageModel(BaseModel):
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class GenerateSingleLogoImageModel(BaseModel):
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tasks_id: str
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tasks_id: str
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prompt: str
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prompt: str
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image_url: str
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seed: str
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class GenerateProductImageModel(BaseModel):
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class GenerateProductImageModel(BaseModel):
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@@ -15,13 +15,7 @@ minio_client = Minio(
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secret_key=MINIO_SECRET,
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secret_key=MINIO_SECRET,
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secure=MINIO_SECURE)
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secure=MINIO_SECURE)
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s3 = boto3.client('s3', aws_access_key_id=S3_ACCESS_KEY, aws_secret_access_key=S3_AWS_SECRET_ACCESS_KEY, region_name=S3_REGION_NAME)
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# s3 = boto3.client(
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# 's3',
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# aws_access_key_id="AKIAVD3OJIMF6UJFLSHZ",
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# aws_secret_access_key="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",
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# region_name="ap-east-1"
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# )
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@PIPELINES.register_module()
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@PIPELINES.register_module()
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@@ -29,9 +29,9 @@ minio_client = Minio(
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s3 = boto3.client(
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s3 = boto3.client(
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's3',
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's3',
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aws_access_key_id="AKIAVD3OJIMF6UJFLSHZ",
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aws_access_key_id=S3_ACCESS_KEY,
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aws_secret_access_key="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",
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aws_secret_access_key=S3_AWS_SECRET_ACCESS_KEY,
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region_name="ap-east-1"
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region_name=S3_REGION_NAME
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)
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)
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@@ -25,137 +25,131 @@ minio_client = Minio(
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secure=MINIO_SECURE)
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secure=MINIO_SECURE)
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"""S3 上传"""
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"""S3 上传"""
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s3 = boto3.client(
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s3 = boto3.client('s3', aws_access_key_id=S3_ACCESS_KEY, aws_secret_access_key=S3_AWS_SECRET_ACCESS_KEY, region_name=S3_REGION_NAME)
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's3',
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aws_access_key_id="AKIAVD3OJIMF6UJFLSHZ",
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aws_secret_access_key="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",
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region_name="ap-east-1"
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)
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# @RunTime
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# def upload_png_mask(front_image, object_name, mask=None):
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# start_time = time.time()
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# mask_url = None
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# if mask is not None:
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# # 反转掩模
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# mask_inverted = cv2.bitwise_not(mask)
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# # 将掩模转换为 RGBA 格式
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# rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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# rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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# # 将图像数据保存到内存中的 BytesIO 对象中
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# image_bytes = io.BytesIO()
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# image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
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# image_bytes.seek(0)
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# try:
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# key = f"mask/mask_{object_name}.png"
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# mask_url = f"{AIDA_CLOTHING}/{key}"
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# s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=image_bytes, ContentType='image/png')
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# except Exception as e:
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# print(f'上传到 S3 失败: {e}')
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# with io.BytesIO() as output:
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# front_image.save(output, format='PNG')
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# data = output.getvalue()
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# # 创建一个 S3 客户端
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# try:
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# key = f"image/image_{object_name}.png"
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# image_url = f"{AIDA_CLOTHING}/{key}"
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# s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=data, ContentType='image/png')
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# return front_image, image_url, mask_url
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# except Exception as e:
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# print(f'上传到 S3 失败: {e}')
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#
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#
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# @RunTime
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# def upload_layer_image(image, object_name):
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# with io.BytesIO() as output:
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# image.save(output, format='PNG')
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# data = output.getvalue()
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# # 创建一个 S3 客户端
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# try:
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# key = f"image/image_{object_name}.png"
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# image_url = f"{AIDA_CLOTHING}/{key}"
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# s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=data, ContentType='image/png')
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# return image_url
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# except Exception as e:
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# print(f'上传到 S3 失败: {e}')
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#
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#
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# @RunTime
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# def upload_mask_image(mask, object_name):
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# # 反转掩模
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# mask_inverted = cv2.bitwise_not(mask)
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# # 将掩模转换为 RGBA 格式
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# rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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# rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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# # 将图像数据保存到内存中的 BytesIO 对象中
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# image_bytes = io.BytesIO()
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# image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
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# image_bytes.seek(0)
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# try:
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# key = f"mask/mask_{object_name}.png"
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# mask_url = f"{AIDA_CLOTHING}/{key}"
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# s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=image_bytes, ContentType='image/png')
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# return mask_url
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# except Exception as e:
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# print(f'上传到 S3 失败: {e}')
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"""minio 上传"""
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@RunTime
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@RunTime
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def upload_png_mask(front_image, object_name, mask=None):
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def upload_png_mask(front_image, object_name, mask=None):
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start_time = time.time()
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try:
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mask_url = None
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mask_url = None
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if mask is not None:
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if mask is not None:
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# 反转掩模
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mask_inverted = cv2.bitwise_not(mask)
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mask_inverted = cv2.bitwise_not(mask)
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# 将掩模的3通道转换为4通道,白色部分不透明,黑色部分透明
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# 将掩模转换为 RGBA 格式
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rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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# 将图像数据保存到内存中的 BytesIO 对象中
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image_bytes = io.BytesIO()
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image_bytes = io.BytesIO()
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image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
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image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
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image_bytes.seek(0)
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image_bytes.seek(0)
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mask_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'mask/mask_{object_name}.png', image_bytes, len(image_bytes.getvalue()), content_type='image/png').object_name}"
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try:
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key = f"mask/mask_{object_name}.png"
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image_data = io.BytesIO()
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mask_url = f"{AIDA_CLOTHING}/{key}"
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front_image.save(image_data, format='PNG')
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s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=image_bytes, ContentType='image/png')
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image_data.seek(0)
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except Exception as e:
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image_bytes = image_data.read()
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print(f'上传到 S3 失败: {e}')
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image_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'image/image_{object_name}.png', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}"
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with io.BytesIO() as output:
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# print(f"upload_png_mask {object_name} = {time.time() - start_time}")
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front_image.save(output, format='PNG')
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data = output.getvalue()
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# 创建一个 S3 客户端
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try:
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key = f"image/image_{object_name}.png"
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image_url = f"{AIDA_CLOTHING}/{key}"
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s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=data, ContentType='image/png')
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return front_image, image_url, mask_url
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return front_image, image_url, mask_url
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except Exception as e:
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except Exception as e:
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logging.warning(f"upload_png_mask runtime exception : {e}")
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print(f'上传到 S3 失败: {e}')
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@RunTime
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@RunTime
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def upload_layer_image(image, object_name):
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def upload_layer_image(image, object_name):
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with io.BytesIO() as output:
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image.save(output, format='PNG')
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data = output.getvalue()
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# 创建一个 S3 客户端
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try:
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try:
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image_data = io.BytesIO()
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key = f"image/image_{object_name}.png"
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image.save(image_data, format='PNG')
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image_url = f"{AIDA_CLOTHING}/{key}"
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image_data.seek(0)
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s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=data, ContentType='image/png')
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image_bytes = image_data.read()
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image_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'image/image_{object_name}.png', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}"
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return image_url
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return image_url
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except Exception as e:
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except Exception as e:
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logging.warning(f"upload_png_mask runtime exception : {e}")
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print(f'上传到 S3 失败: {e}')
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@RunTime
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@RunTime
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def upload_mask_image(mask, object_name):
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def upload_mask_image(mask, object_name):
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try:
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# 反转掩模
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mask_inverted = cv2.bitwise_not(mask)
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mask_inverted = cv2.bitwise_not(mask)
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# 将掩模的3通道转换为4通道,白色部分不透明,黑色部分透明
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# 将掩模转换为 RGBA 格式
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rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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# 将图像数据保存到内存中的 BytesIO 对象中
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image_bytes = io.BytesIO()
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image_bytes = io.BytesIO()
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image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
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image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
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image_bytes.seek(0)
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image_bytes.seek(0)
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mask_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'mask/mask_{object_name}.png', image_bytes, len(image_bytes.getvalue()), content_type='image/png').object_name}"
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try:
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key = f"mask/mask_{object_name}.png"
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mask_url = f"{AIDA_CLOTHING}/{key}"
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s3.put_object(Bucket=AIDA_CLOTHING, Key=key, Body=image_bytes, ContentType='image/png')
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return mask_url
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return mask_url
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except Exception as e:
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except Exception as e:
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logging.warning(f"upload_png_mask runtime exception : {e}")
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print(f'上传到 S3 失败: {e}')
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"""minio 上传"""
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# @RunTime
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# def upload_png_mask(front_image, object_name, mask=None):
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# start_time = time.time()
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# try:
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# mask_url = None
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# if mask is not None:
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# mask_inverted = cv2.bitwise_not(mask)
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# # 将掩模的3通道转换为4通道,白色部分不透明,黑色部分透明
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# rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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# rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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# image_bytes = io.BytesIO()
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# image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
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#
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# image_bytes.seek(0)
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# mask_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'mask/mask_{object_name}.png', image_bytes, len(image_bytes.getvalue()), content_type='image/png').object_name}"
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#
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# image_data = io.BytesIO()
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# front_image.save(image_data, format='PNG')
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# image_data.seek(0)
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# image_bytes = image_data.read()
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# image_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'image/image_{object_name}.png', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}"
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# # print(f"upload_png_mask {object_name} = {time.time() - start_time}")
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# return front_image, image_url, mask_url
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# except Exception as e:
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# logging.warning(f"upload_png_mask runtime exception : {e}")
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#
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#
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# @RunTime
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# def upload_layer_image(image, object_name):
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# try:
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# image_data = io.BytesIO()
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# image.save(image_data, format='PNG')
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# image_data.seek(0)
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# image_bytes = image_data.read()
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# image_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'image/image_{object_name}.png', io.BytesIO(image_bytes), len(image_bytes), content_type='image/png').object_name}"
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# return image_url
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# except Exception as e:
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# logging.warning(f"upload_png_mask runtime exception : {e}")
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#
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#
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# @RunTime
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# def upload_mask_image(mask, object_name):
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# try:
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# mask_inverted = cv2.bitwise_not(mask)
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# # 将掩模的3通道转换为4通道,白色部分不透明,黑色部分透明
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# rgba_image = cv2.cvtColor(mask_inverted, cv2.COLOR_BGR2BGRA)
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# rgba_image[rgba_image[:, :, 0] == 0] = [0, 0, 0, 0]
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# image_bytes = io.BytesIO()
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||||||
|
# image_bytes.write(cv2.imencode('.png', rgba_image)[1].tobytes())
|
||||||
|
#
|
||||||
|
# image_bytes.seek(0)
|
||||||
|
# mask_url = f"{AIDA_CLOTHING}/{minio_client.put_object('aida-clothing', f'mask/mask_{object_name}.png', image_bytes, len(image_bytes.getvalue()), content_type='image/png').object_name}"
|
||||||
|
# return mask_url
|
||||||
|
# except Exception as e:
|
||||||
|
# logging.warning(f"upload_png_mask runtime exception : {e}")
|
||||||
|
|||||||
@@ -9,25 +9,39 @@
|
|||||||
"""
|
"""
|
||||||
import json
|
import json
|
||||||
import logging
|
import logging
|
||||||
|
import time
|
||||||
|
|
||||||
|
import cv2
|
||||||
|
import numpy as np
|
||||||
import redis
|
import redis
|
||||||
|
from PIL import Image
|
||||||
from minio import Minio
|
from minio import Minio
|
||||||
|
from tritonclient.utils import np_to_triton_dtype
|
||||||
|
|
||||||
from app.core.config import *
|
from app.core.config import *
|
||||||
|
import tritonclient.grpc as grpcclient
|
||||||
from app.schemas.generate_image import GenerateSingleLogoImageModel
|
from app.schemas.generate_image import GenerateSingleLogoImageModel
|
||||||
|
from app.service.generate_image.utils.upload_sd_image import upload_png_sd, upload_single_logo
|
||||||
|
|
||||||
logger = logging.getLogger()
|
logger = logging.getLogger()
|
||||||
|
|
||||||
|
|
||||||
class GenerateSingleLogoImage:
|
class GenerateSingleLogoImage:
|
||||||
def __init__(self, request_data):
|
def __init__(self, request_data):
|
||||||
# if DEBUG is False:
|
if DEBUG is False:
|
||||||
# self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
|
|
||||||
# self.channel = self.connection.channel()
|
|
||||||
self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
|
self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
|
||||||
self.channel = self.connection.channel()
|
self.channel = self.connection.channel()
|
||||||
|
# self.connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
|
||||||
|
# self.channel = self.connection.channel()
|
||||||
self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
|
self.minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
|
||||||
# self.grpc_client = grpcclient.InferenceServerClient(url=GI_MODEL_URL)
|
self.grpc_client = grpcclient.InferenceServerClient(url=GSL_MODEL_URL)
|
||||||
self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
|
self.redis_client = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT, db=REDIS_DB, decode_responses=True)
|
||||||
|
self.batch_size = 1
|
||||||
|
self.category = "single_logo"
|
||||||
|
self.negative_prompts = "bad, ugly"
|
||||||
|
self.seed = request_data.seed
|
||||||
self.tasks_id = request_data.tasks_id
|
self.tasks_id = request_data.tasks_id
|
||||||
|
self.prompt = request_data.prompt
|
||||||
self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
|
self.user_id = self.tasks_id[self.tasks_id.rfind('-') + 1:]
|
||||||
self.gen_single_logo_data = {'tasks_id': self.tasks_id, 'status': 'PENDING', 'message': "pending", 'image_url': ''}
|
self.gen_single_logo_data = {'tasks_id': self.tasks_id, 'status': 'PENDING', 'message': "pending", 'image_url': ''}
|
||||||
self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
|
self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
|
||||||
@@ -37,20 +51,72 @@ class GenerateSingleLogoImage:
|
|||||||
status_data = self.redis_client.get(self.tasks_id)
|
status_data = self.redis_client.get(self.tasks_id)
|
||||||
return json.loads(status_data), status_data
|
return json.loads(status_data), status_data
|
||||||
|
|
||||||
|
def infer(self, inputs):
|
||||||
|
return self.grpc_client.async_infer(
|
||||||
|
model_name=GSL_MODEL_NAME,
|
||||||
|
inputs=inputs,
|
||||||
|
callback=self.callback
|
||||||
|
)
|
||||||
|
|
||||||
|
def callback(self, result, error):
|
||||||
|
if error:
|
||||||
|
self.gen_single_logo_data['status'] = "FAILURE"
|
||||||
|
self.gen_single_logo_data['message'] = str(error)
|
||||||
|
# self.generate_data['data'] = str(error)
|
||||||
|
self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
|
||||||
|
else:
|
||||||
|
image = result.as_numpy("generated_image")
|
||||||
|
image_result = Image.fromarray(np.squeeze(image.astype(np.uint8)))
|
||||||
|
image_url = upload_single_logo(image_result, user_id=self.user_id, category=f"{self.category}", object_name=f"{self.tasks_id}.png")
|
||||||
|
self.gen_single_logo_data['status'] = "SUCCESS"
|
||||||
|
self.gen_single_logo_data['message'] = "success"
|
||||||
|
self.gen_single_logo_data['image_url'] = str(image_url)
|
||||||
|
self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
|
||||||
|
|
||||||
def get_result(self):
|
def get_result(self):
|
||||||
try:
|
try:
|
||||||
|
# prompt
|
||||||
|
prompts = [self.prompt] * self.batch_size
|
||||||
|
text_obj = np.array(prompts, dtype="object").reshape((-1, 1))
|
||||||
|
input_text = grpcclient.InferInput("prompt", text_obj.shape, np_to_triton_dtype(text_obj.dtype))
|
||||||
|
input_text.set_data_from_numpy(text_obj)
|
||||||
|
|
||||||
|
# negative_prompts
|
||||||
|
text_obj_neg = np.array(self.negative_prompts, dtype="object").reshape((-1, 1))
|
||||||
|
# print('text obj neg: ', text_obj_neg)
|
||||||
|
input_text_neg = grpcclient.InferInput("negative_prompt", text_obj_neg.shape, np_to_triton_dtype(text_obj_neg.dtype))
|
||||||
|
input_text_neg.set_data_from_numpy(text_obj_neg)
|
||||||
|
|
||||||
|
# seed
|
||||||
|
seed = np.array(self.seed, dtype="object").reshape((-1, 1))
|
||||||
|
print('seed: ', self.seed)
|
||||||
|
input_seed = grpcclient.InferInput("seed", seed.shape, np_to_triton_dtype(seed.dtype))
|
||||||
|
input_seed.set_data_from_numpy(seed)
|
||||||
|
|
||||||
|
inputs = [input_text, input_text_neg, input_seed]
|
||||||
|
|
||||||
|
ctx = self.infer(inputs)
|
||||||
|
time_out = 600
|
||||||
|
generate_data = None
|
||||||
|
while time_out > 0:
|
||||||
generate_data, _ = self.read_tasks_status()
|
generate_data, _ = self.read_tasks_status()
|
||||||
|
# logger.info(generate_data)
|
||||||
|
if generate_data['status'] in ["REVOKED", "FAILURE"]:
|
||||||
|
ctx.cancel()
|
||||||
|
break
|
||||||
|
elif generate_data['status'] == "SUCCESS":
|
||||||
|
break
|
||||||
|
time_out -= 1
|
||||||
|
time.sleep(0.1)
|
||||||
|
# logger.info(time_out, generate_data)
|
||||||
return generate_data
|
return generate_data
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
self.gen_single_logo_data['status'] = "FAILURE"
|
|
||||||
self.gen_single_logo_data['message'] = str(e)
|
|
||||||
self.redis_client.set(self.tasks_id, json.dumps(self.gen_single_logo_data))
|
|
||||||
raise Exception(str(e))
|
raise Exception(str(e))
|
||||||
finally:
|
finally:
|
||||||
dict_generate_data, str_generate_data = self.read_tasks_status()
|
dict_generate_data, str_generate_data = self.read_tasks_status()
|
||||||
# if DEBUG is False:
|
if DEBUG is False:
|
||||||
# self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=str_generate_data)
|
|
||||||
self.channel.basic_publish(exchange='', routing_key=GEN_SINGLE_LOGO_RABBITMQ_QUEUES, body=str_generate_data)
|
self.channel.basic_publish(exchange='', routing_key=GEN_SINGLE_LOGO_RABBITMQ_QUEUES, body=str_generate_data)
|
||||||
|
# self.channel.basic_publish(exchange='', routing_key=GI_RABBITMQ_QUEUES, body=str_generate_data)
|
||||||
logger.info(f" [x] Sent {json.dumps(dict_generate_data, indent=4)}")
|
logger.info(f" [x] Sent {json.dumps(dict_generate_data, indent=4)}")
|
||||||
|
|
||||||
|
|
||||||
@@ -64,9 +130,9 @@ def infer_cancel(tasks_id):
|
|||||||
|
|
||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
rd = GenerateSingleLogoImageModel(
|
rd = GenerateSingleLogoImageModel(
|
||||||
tasks_id="123-8",
|
tasks_id="123-89",
|
||||||
prompt='skeleton sitting by the side of a river looking soulful, concert poster, 4k, artistic',
|
prompt='an apple',
|
||||||
image_url="",
|
seed="1",
|
||||||
)
|
)
|
||||||
server = GenerateSingleLogoImage(rd)
|
server = GenerateSingleLogoImage(rd)
|
||||||
print(server.get_result())
|
print(server.get_result())
|
||||||
|
|||||||
@@ -10,6 +10,7 @@
|
|||||||
import io
|
import io
|
||||||
import logging
|
import logging
|
||||||
|
|
||||||
|
import boto3
|
||||||
import cv2
|
import cv2
|
||||||
from PIL import Image
|
from PIL import Image
|
||||||
from minio import Minio
|
from minio import Minio
|
||||||
@@ -17,6 +18,39 @@ from minio import Minio
|
|||||||
from app.core.config import *
|
from app.core.config import *
|
||||||
|
|
||||||
minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
|
minio_client = Minio(MINIO_URL, access_key=MINIO_ACCESS, secret_key=MINIO_SECRET, secure=MINIO_SECURE)
|
||||||
|
s3 = boto3.client('s3', aws_access_key_id=S3_ACCESS_KEY, aws_secret_access_key=S3_AWS_SECRET_ACCESS_KEY, region_name=S3_REGION_NAME)
|
||||||
|
|
||||||
|
|
||||||
|
# def upload_single_logo(image, user_id, category, object_name):
|
||||||
|
# with io.BytesIO() as output:
|
||||||
|
# image.save(output, format='PNG')
|
||||||
|
# data = output.getvalue()
|
||||||
|
# # 创建一个 S3 客户端
|
||||||
|
# try:
|
||||||
|
# key = f'{user_id}/{category}/{object_name}'
|
||||||
|
# image_url = f"{AIDA_CLOTHING}/{key}"
|
||||||
|
# s3.put_object(Bucket=GSL_MINIO_BUCKET, Key=key, Body=data, ContentType='image/png')
|
||||||
|
# return image_url
|
||||||
|
# except Exception as e:
|
||||||
|
# print(f'上传到 S3 失败: {e}')
|
||||||
|
|
||||||
|
def upload_single_logo(image, user_id, category, object_name):
|
||||||
|
try:
|
||||||
|
image_data = io.BytesIO()
|
||||||
|
image.save(image_data, format='PNG')
|
||||||
|
image_data.seek(0)
|
||||||
|
image_bytes = image_data.read()
|
||||||
|
minio_req = minio_client.put_object(
|
||||||
|
GI_MINIO_BUCKET,
|
||||||
|
f'{user_id}/{category}/{object_name}',
|
||||||
|
io.BytesIO(image_bytes),
|
||||||
|
len(image_bytes),
|
||||||
|
content_type='image/jpeg'
|
||||||
|
)
|
||||||
|
image_url = f"aida-users/{minio_req.object_name}"
|
||||||
|
return image_url
|
||||||
|
except Exception as e:
|
||||||
|
logging.warning(f"upload_png_mask runtime exception : {e}")
|
||||||
|
|
||||||
|
|
||||||
def upload_png_sd(image, user_id, category, object_name):
|
def upload_png_sd(image, user_id, category, object_name):
|
||||||
|
|||||||
Reference in New Issue
Block a user