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| import gradio as gr | |
| from PIL import Image | |
| import numpy as np | |
| import io, os, zipfile, tempfile, time | |
| from spm import spm_augment | |
| TITLE = "Shuffle PatchMix (SPM) Augmentation" | |
| DESC = """ | |
| Upload an image, choose **number of patches (N×N)**, and generate SPM-augmented variants. | |
| You can optionally **enable overlap** with feathered blending for smoother seams. | |
| For batch processing, upload a .zip of images (PNG/JPG/JPEG), and download a .zip of outputs. | |
| """ | |
| def _parse_grid(grid_choice: str) -> int: | |
| # Expect strings like "2x2", "4x4", "8x8", "16x16" | |
| try: | |
| n = int(grid_choice.lower().split("x")[0]) | |
| return max(1, n) | |
| except Exception: | |
| return 4 | |
| def run_single(image, grid_choice, use_overlap, overlap_px, mix_prob, beta_a, beta_b, num_augs, seed): | |
| if image is None: | |
| return [] | |
| outs = [] | |
| base_seed = int(seed) if seed is not None else None | |
| N = _parse_grid(grid_choice) | |
| ov = int(overlap_px) if use_overlap else 0 | |
| for i in range(num_augs): | |
| s = (base_seed + i) if base_seed is not None else None | |
| out_img = spm_augment( | |
| image, | |
| num_patches=N, | |
| mix_prob=float(mix_prob), | |
| beta_a=float(beta_a), | |
| beta_b=float(beta_b), | |
| overlap_px=ov, | |
| seed=s | |
| ) | |
| outs.append(out_img) | |
| return outs | |
| def run_batch(zip_file, grid_choice, use_overlap, overlap_px, mix_prob, beta_a, beta_b, seed): | |
| if zip_file is None: | |
| return None, "Please upload a .zip file with images." | |
| tempdir = tempfile.mkdtemp() | |
| outdir = os.path.join(tempdir, "outputs") | |
| os.makedirs(outdir, exist_ok=True) | |
| # Extract | |
| with zipfile.ZipFile(zip_file, 'r') as zf: | |
| zf.extractall(tempdir) | |
| # Collect images | |
| valid_exts = {".png", ".jpg", ".jpeg"} | |
| count_in, count_out = 0, 0 | |
| N = _parse_grid(grid_choice) | |
| ov = int(overlap_px) if use_overlap else 0 | |
| for root_dir, _, files in os.walk(tempdir): | |
| for f in files: | |
| if f.lower().endswith(tuple(valid_exts)): | |
| in_path = os.path.join(root_dir, f) | |
| try: | |
| img = Image.open(in_path).convert("RGB") | |
| except Exception: | |
| continue | |
| count_in += 1 | |
| out_img = spm_augment( | |
| img, | |
| num_patches=N, | |
| mix_prob=float(mix_prob), | |
| beta_a=float(beta_a), | |
| beta_b=float(beta_b), | |
| overlap_px=ov, | |
| seed=int(seed) if seed is not None else None | |
| ) | |
| rel = os.path.relpath(in_path, tempdir) | |
| out_path = os.path.join(outdir, rel) | |
| os.makedirs(os.path.dirname(out_path), exist_ok=True) | |
| out_img.save(out_path) | |
| count_out += 1 | |
| # Zip results | |
| out_zip = os.path.join(tempdir, f"spm_outputs_{int(time.time())}.zip") | |
| with zipfile.ZipFile(out_zip, "w", compression=zipfile.ZIP_DEFLATED) as zf: | |
| for root_dir, _, files in os.walk(outdir): | |
| for f in files: | |
| p = os.path.join(root_dir, f) | |
| arc = os.path.relpath(p, outdir) | |
| zf.write(p, arcname=arc) | |
| msg = f"Processed {count_out}/{count_in} files." | |
| return out_zip, msg | |
| with gr.Blocks() as demo: | |
| gr.Markdown(f"# {TITLE}") | |
| gr.Markdown(DESC) | |
| with gr.Tabs(): | |
| with gr.TabItem("Single Image"): | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| inp = gr.Image(label="Input image", type="pil") | |
| grid_choice = gr.Radio(choices=["2x2","4x4","8x8","16x16"], value="4x4", label="Grid (N×N)") | |
| use_overlap = gr.Checkbox(value=False, label="Enable overlap (feather blend)") | |
| overlap_px = gr.Slider(1, 64, value=8, step=1, label="Overlap (px)") | |
| mix_prob = gr.Slider(0, 1, value=0.5, step=0.05, label="Mix probability (per patch)") | |
| with gr.Row(): | |
| beta_a = gr.Slider(0.1, 8, value=2.0, step=0.1, label="Beta α") | |
| beta_b = gr.Slider(0.1, 8, value=2.0, step=0.1, label="Beta β") | |
| num_augs = gr.Slider(1, 12, value=4, step=1, label="Number of variants") | |
| seed = gr.Number(value=42, precision=0, label="Seed (int, optional)") | |
| run_btn = gr.Button("Generate") | |
| with gr.Column(scale=1): | |
| gallery = gr.Gallery(label="Augmented outputs", columns=2, height="auto") | |
| run_btn.click( | |
| fn=run_single, | |
| inputs=[inp, grid_choice, use_overlap, overlap_px, mix_prob, beta_a, beta_b, num_augs, seed], | |
| outputs=[gallery] | |
| ) | |
| with gr.TabItem("Batch (.zip)"): | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| zip_in = gr.File(label="Upload a .zip of images", file_types=[".zip"]) | |
| grid_choice_b = gr.Radio(choices=["2x2","4x4","8x8","16x16"], value="4x4", label="Grid (N×N)") | |
| use_overlap_b = gr.Checkbox(value=False, label="Enable overlap (feather blend)") | |
| overlap_px_b = gr.Slider(1, 64, value=8, step=1, label="Overlap (px)") | |
| mix_prob_b = gr.Slider(0, 1, value=0.5, step=0.05, label="Mix probability (per patch)") | |
| with gr.Row(): | |
| beta_a_b = gr.Slider(0.1, 8, value=2.0, step=0.1, label="Beta α") | |
| beta_b_b = gr.Slider(0.1, 8, value=2.0, step=0.1, label="Beta β") | |
| seed_b = gr.Number(value=42, precision=0, label="Seed (int, optional)") | |
| run_b = gr.Button("Process Zip") | |
| with gr.Column(scale=1): | |
| zip_out = gr.File(label="Download results (.zip)") | |
| status = gr.Markdown() | |
| run_b.click( | |
| fn=run_batch, | |
| inputs=[zip_in, grid_choice_b, use_overlap_b, overlap_px_b, mix_prob_b, beta_a_b, beta_b_b, seed_b], | |
| outputs=[zip_out, status] | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |