Update app.py
Browse files
app.py
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@@ -11,14 +11,13 @@ from torch import Tensor
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from genstereo import GenStereo, AdaptiveFusionLayer
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import ssl
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from huggingface_hub import hf_hub_download
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import spaces
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from extern.DAM2.depth_anything_v2.dpt import DepthAnythingV2
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ssl._create_default_https_context = ssl._create_unverified_context
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IMAGE_SIZE =
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DEVICE = 'cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu'
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CHECKPOINT_NAME = 'genstereo'
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def download_models():
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models = [
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{
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'repo': 'FQiao/GenStereo',
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'sub': None,
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'dst': 'checkpoints/genstereo',
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'files': ['config.json', 'denoising_unet.pth', 'fusion_layer.pth', 'pose_guider.pth', 'reference_unet.pth'],
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'token': None
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},
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return dam2
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# GenStereo
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def get_genstereo_model():
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pretrained_model_path='checkpoints',
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checkpoint_name=CHECKPOINT_NAME,
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half_precision_weights=True
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)
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genstereo = GenStereo(cfg=
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return genstereo
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# Adaptive Fusion
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src_depth = gr.State()
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# Callbacks
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if not image_file:
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# Return None if no image is provided (e.g., when file is cleared).
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return None, None, None, None
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image = crop(Image.open(image_file).convert('RGB')) # Load image using PIL
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image_bgr = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
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return image, depth_image, image, depth
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def cb_generate(image, depth: Tensor, scale_factor):
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norm_disp = normalize_disp(depth.cuda())
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disp = norm_disp * scale_factor / 100 * IMAGE_SIZE
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genstereo = get_genstereo_model()
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fusion_model = get_fusion_model()
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renders = genstereo(
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# Blocks.
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gr.Markdown(
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"""
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#
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[
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## Introduction
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This is an official demo for the paper "
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## How to Use
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"""
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)
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'./assets/KITTI2015_000147_10.png'],
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inputs=file
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)
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with gr.Row():
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image_widget = gr.Image(
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label='Left Image', type='filepath',
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)
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# Events
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file.change(
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fn=cb_mde,
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inputs=file,
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outputs=[image_widget, depth_widget, src_image, src_depth]
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)
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button.click(
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fn=cb_generate,
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inputs=[src_image, src_depth, scale_slider],
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outputs=[warped_widget, gen_widget]
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)
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from genstereo import GenStereo, AdaptiveFusionLayer
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import ssl
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from huggingface_hub import hf_hub_download
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from extern.DAM2.depth_anything_v2.dpt import DepthAnythingV2
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ssl._create_default_https_context = ssl._create_unverified_context
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IMAGE_SIZE = 768
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DEVICE = 'cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu'
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CHECKPOINT_NAME = 'genstereo-v2.1'
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def download_models():
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models = [
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{
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'repo': 'FQiao/GenStereo',
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'sub': None,
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'dst': 'checkpoints/genstereo-v1.5',
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'files': ['config.json', 'denoising_unet.pth', 'fusion_layer.pth', 'pose_guider.pth', 'reference_unet.pth'],
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'token': None
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},
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{
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'repo': 'FQiao/GenStereo-sd2.1',
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'sub': None,
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'dst': 'checkpoints/genstereo-v2.1',
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'files': ['config.json', 'denoising_unet.pth', 'fusion_layer.pth', 'pose_guider.pth', 'reference_unet.pth'],
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'token': None
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},
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return dam2
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# GenStereo
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def get_genstereo_model(sd_version):
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genstereo_cfg = dict(
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pretrained_model_path='checkpoints',
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checkpoint_name=CHECKPOINT_NAME,
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half_precision_weights=True
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)
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genstereo = GenStereo(cfg=genstereo_cfg, device=DEVICE, sd_version=sd_version)
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return genstereo
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# Adaptive Fusion
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src_depth = gr.State()
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# Callbacks
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def cb_update_sd_version(sd_version_choice):
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global IMAGE_SIZE, CHECKPOINT_NAME
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if sd_version_choice == "v1.5":
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IMAGE_SIZE = 512
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CHECKPOINT_NAME = 'genstereo-v1.5'
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print(f"Switched to GenStereo {sd_version_choice}. IMAGE_SIZE: {IMAGE_SIZE}, CHECKPOINT: {CHECKPOINT_NAME}")
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elif sd_version_choice == "v2.1":
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IMAGE_SIZE = 768
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CHECKPOINT_NAME = 'genstereo-v2.1'
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print(f"Switched to GenStereo {sd_version_choice}. IMAGE_SIZE: {IMAGE_SIZE}, CHECKPOINT: {CHECKPOINT_NAME}")
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return None, None, None, None, None, None
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def cb_mde(image_file: str, sd_version):
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if not image_file:
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# Return None if no image is provided (e.g., when file is cleared).
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return None, None, None, None
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image = crop(Image.open(image_file).convert('RGB')) # Load image using PIL
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if sd_version == "v1.5":
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image = image.resize((IMAGE_SIZE, IMAGE_SIZE))
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elif sd_version == "v2.1":
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image = image.resize((IMAGE_SIZE, IMAGE_SIZE))
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else:
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gr.Warning(f"Unknown SD version: {sd_version}. Defaulting to {IMAGE_SIZE}.")
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image = image.resize((IMAGE_SIZE, IMAGE_SIZE))
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gr.Info(f"Generating with GenStereo {sd_version} at {IMAGE_SIZE}px resolution.")
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image_bgr = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
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return image, depth_image, image, depth
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def cb_generate(image, depth: Tensor, scale_factor, sd_version):
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norm_disp = normalize_disp(depth.cuda())
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disp = norm_disp * scale_factor / 100 * IMAGE_SIZE
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genstereo = get_genstereo_model(sd_version)
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fusion_model = get_fusion_model()
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renders = genstereo(
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# Blocks.
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gr.Markdown(
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"""
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# StereoGen: Towards Open-World Generation of Stereo Images and Unsupervised Matching
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[](https://qjizhi.github.io/genstereo)
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[](https://huggingface.co/spaces/FQiao/GenStereo)
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[](https://github.com/Qjizhi/GenStereo)
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[](https://huggingface.co/FQiao/GenStereo/tree/main)
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[](https://arxiv.org/abs/2503.12720)
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## Introduction
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This is an official demo for the paper "[Towards Open-World Generation of Stereo Images and Unsupervised Matching](https://qjizhi.github.io/genstereo)". Given an arbitrary reference image, GenStereo can generate the corresponding right-view image.
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## How to Use
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1. Select the GenStereo version
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- v1.5: 512px, faster.
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- v2.1: 768px, better performance, high resolution, takes more time.
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2. Upload a reference image to "Left Image"
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- You can also select an image from "Examples"
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3. Hit "Generate a right image" button and check the result.
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"""
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)
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sd_version_radio = gr.Radio(
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label="GenStereo Version",
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choices=["v1.5", "v2.1"],
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value="v2.1",
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)
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with gr.Row():
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file = gr.File(label='Left', file_types=['image'])
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examples = gr.Examples(
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examples=['./assets/COCO_val2017_000000070229.jpg',
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'./assets/COCO_val2017_000000092839.jpg',
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'./assets/KITTI2015_000003_10.png',
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'./assets/KITTI2015_000147_10.png'],
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inputs=file
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)
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with gr.Row():
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image_widget = gr.Image(
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label='Left Image', type='filepath',
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)
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# Events
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sd_version_radio.change(
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fn=cb_update_sd_version,
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inputs=sd_version_radio,
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outputs=[
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image_widget, depth_widget, # Clear image displays
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src_image, src_depth, # Clear internal states
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warped_widget, gen_widget # Clear generation outputs
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]
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)
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file.change(
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fn=cb_mde,
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inputs=[file, sd_version_radio],
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outputs=[image_widget, depth_widget, src_image, src_depth]
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)
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button.click(
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fn=cb_generate,
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inputs=[src_image, src_depth, scale_slider, sd_version_radio],
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outputs=[warped_widget, gen_widget]
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)
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