2024.07.04 complete gernerate image service
Browse files- app.py +82 -0
- app.py:Zone.Identifier +0 -0
- requirements.txt +111 -0
- requirements.txt:Zone.Identifier +0 -0
app.py
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# 객체검출 -> 삭제 체크박스 적용본
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import torch
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from PIL import Image, ImageDraw
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from transformers import DetrImageProcessor, DetrForObjectDetection
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from diffusers import StableDiffusionInpaintPipeline
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import gradio as gr
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# 모델 로드
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processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
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model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
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pipe = StableDiffusionInpaintPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", torch_dtype=torch.float32)
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pipe = pipe.to("cpu")
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def detect_objects(image):
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# 객체 검출
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inputs = processor(images=image, return_tensors="pt")
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outputs = model(**inputs)
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# 결과 후처리```````
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target_sizes = torch.tensor([image.size[::-1]])
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results = processor.post_process_object_detection(outputs, target_sizes=target_sizes)[0]
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# 검출된 객체 정보 추출
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detected_objects = []
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for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
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if score > 0.9:
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box = [round(i) for i in box.tolist()]
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detected_objects.append({"label": model.config.id2label[label.item()], "box": box})
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return detected_objects
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def display_detected_objects(image):
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detected_objects = detect_objects(image)
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labeled_image = image.copy()
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draw = ImageDraw.Draw(labeled_image)
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object_labels = []
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for obj in detected_objects:
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box = obj["box"]
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label = obj["label"]
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draw.rectangle(box, outline="red", width=3)
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draw.text((box[0], box[1]), label, fill="red")
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object_labels.append(f"{label} at {box}")
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return labeled_image, gr.update(choices=object_labels)
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def inpaint_image(image, selected_objects):
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detected_objects = detect_objects(image)
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# 마스크 생성
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mask = Image.new("L", image.size, 0)
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draw = ImageDraw.Draw(mask)
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for obj in detected_objects:
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object_label = f"{obj['label']} at {obj['box']}"
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if object_label in selected_objects:
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box = obj["box"]
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draw.rectangle(box, fill=255)
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# Inpainting 수행
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image = image.convert("RGB")
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mask = mask.convert("RGB")
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output = pipe(prompt="a modern interior", image=image, mask_image=mask).images[0]
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# output = pipe(prompt="remove", image=image, mask_image=mask).images[0]
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return output
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# Gradio 인터페이스 설정
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with gr.Blocks() as interface:
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with gr.Row():
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image_input = gr.Image(type="pil", label="Input Image")
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objects_list = gr.CheckboxGroup(label="Detected Objects")
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labeled_image_output = gr.Image(label="Labeled Image")
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final_output = gr.Image(label="Output Image")
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detect_button = gr.Button("Detect Objects")
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inpaint_button = gr.Button("Remove Selected Objects")
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detect_button.click(fn=display_detected_objects, inputs=image_input, outputs=[labeled_image_output, objects_list])
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inpaint_button.click(fn=inpaint_image, inputs=[image_input, objects_list], outputs=final_output)
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# Gradio 인터페이스 실행
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interface.launch()
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app.py:Zone.Identifier
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File without changes
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requirements.txt
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aiofiles==23.2.1
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altair==5.3.0
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annotated-types==0.7.0
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anyio==4.4.0
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asttokens==2.4.1
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attrs==23.2.0
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certifi==2024.7.4
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charset-normalizer==3.3.2
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click==8.1.7
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comm==0.2.2
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contourpy==1.2.1
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cycler==0.12.1
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debugpy==1.8.2
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decorator==5.1.1
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diffusers==0.29.2
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dnspython==2.6.1
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email_validator==2.2.0
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exceptiongroup==1.2.1
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executing==2.0.1
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fastapi==0.111.0
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fastapi-cli==0.0.4
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ffmpy==0.3.2
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filelock==3.15.4
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fonttools==4.53.0
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fsspec==2024.6.1
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gradio==4.37.2
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gradio_client==1.0.2
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h11==0.14.0
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httpcore==1.0.5
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httptools==0.6.1
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httpx==0.27.0
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huggingface-hub==0.23.4
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idna==3.7
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importlib_metadata==8.0.0
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importlib_resources==6.4.0
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ipykernel==6.29.5
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ipython==8.26.0
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jedi==0.19.1
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Jinja2==3.1.4
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jsonschema==4.22.0
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jsonschema-specifications==2023.12.1
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jupyter_client==8.6.2
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jupyter_core==5.7.2
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.9.0
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matplotlib-inline==0.1.7
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mdurl==0.1.2
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mpmath==1.3.0
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nest-asyncio==1.6.0
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networkx==3.3
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numpy==1.26.4
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orjson==3.10.6
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packaging==24.1
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pandas==2.2.2
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parso==0.8.4
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pexpect==4.9.0
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pillow==10.4.0
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platformdirs==4.2.2
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prompt_toolkit==3.0.47
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psutil==6.0.0
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ptyprocess==0.7.0
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pure-eval==0.2.2
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pydantic==2.8.2
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pydantic_core==2.20.1
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pydub==0.25.1
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Pygments==2.18.0
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pyparsing==3.1.2
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python-dateutil==2.9.0.post0
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python-dotenv==1.0.1
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.1
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pyzmq==26.0.3
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referencing==0.35.1
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regex==2024.5.15
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requests==2.32.3
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rich==13.7.1
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rpds-py==0.18.1
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ruff==0.5.0
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safetensors==0.4.3
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.1
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stack-data==0.6.3
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starlette==0.37.2
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sympy==1.12.1
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timm==1.0.7
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tokenizers==0.19.1
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tomlkit==0.12.0
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toolz==0.12.1
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torch==2.3.1
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torchvision==0.18.1
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tornado==6.4.1
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tqdm==4.66.4
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traitlets==5.14.3
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transformers==4.42.3
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triton==2.3.1
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typer==0.12.3
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typing_extensions==4.12.2
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tzdata==2024.1
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ujson==5.10.0
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urllib3==2.2.2
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uvicorn==0.30.1
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uvloop==0.19.0
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watchfiles==0.22.0
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wcwidth==0.2.13
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websockets==11.0.3
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zipp==3.19.2
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requirements.txt:Zone.Identifier
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