cd /tmp/workspace && ls attachments/923c16bc-d7dc-4503-b558-d0f04e6c8b8c/

python3 << 'EOF' import fitz # PyMuPDF import os pdf_path = '/tmp/workspace/attachments/923c16bc-d7dc-4503-b558-d0f04e6c8b8c/photo_compress(1) (1).pdf' doc = fitz.open(pdf_path) print(f"Pages: {len(doc)}") for page_num in range(len(doc)): page = doc[page_num] print(f"Page {page_num}: size={page.rect}") images = page.get_images(full=True) print(f" Images: {len(images)}") for img in images: print(f" xref={img[0]}, name={img[7]}, width={img[2]}, height={img[3]}, colorspace={img[5]}") EOF

python3 << 'EOF' import pypdf from pypdf import PdfReader import io pdf_path = '/tmp/workspace/attachments/923c16bc-d7dc-4503-b558-d0f04e6c8b8c/photo_compress(1) (1).pdf' reader = PdfReader(pdf_path) print(f"Pages: {len(reader.pages)}") for i, page in enumerate(reader.pages): print(f"Page {i}: {page.mediabox}") # Try to get images if '/XObject' in page['/Resources']: xobjects = page['/Resources']['/XObject'].get_object() for name, obj in xobjects.items(): xobj = obj.get_object() print(f" XObject: {name}, Subtype: {xobj.get('/Subtype')}, W={xobj.get('/Width')}, H={xobj.get('/Height')}") EOF

python3 << 'EOF' from pypdf import PdfReader from PIL import Image import io, os pdf_path = '/tmp/workspace/attachments/923c16bc-d7dc-4503-b558-d0f04e6c8b8c/photo_compress(1) (1).pdf' reader = PdfReader(pdf_path) page = reader.pages[0] xobjects = page['/Resources']['/XObject'].get_object() obj = xobjects['/Im1'].get_object() data = obj.get_data() colorspace = obj.get('/ColorSpace') width = obj['/Width'] height = obj['/Height'] bpc = obj.get('/BitsPerComponent', 8) print(f"ColorSpace: {colorspace}, W={width}, H={height}, BPC={bpc}") print(f"Data length: {len(data)}") # Try to open as image try: img = Image.open(io.BytesIO(data)) print(f"Format: {img.format}, Mode: {img.mode}, Size: {img.size}") img.save('/tmp/workspace/extracted_photo.png') print("Saved as PNG") except Exception as e: print(f"Direct open failed: {e}") # Try raw RGB try: if colorspace == '/DeviceRGB': img = Image.frombytes('RGB', (width, height), data) elif colorspace == '/DeviceCMYK': img = Image.frombytes('CMYK', (width, height), data) elif colorspace == '/DeviceGray': img = Image.frombytes('L', (width, height), data) else: img = Image.frombytes('RGB', (width, height), data) img.save('/tmp/workspace/extracted_photo.png') print(f"Saved raw as PNG, mode={img.mode}, size={img.size}") except Exception as e2: print(f"Raw open failed: {e2}") EOF

pip install --user rembg 2>&1 | tail -5

python3 -c "from rembg import remove; print('rembg ok')"

pip install rembg 2>&1 | tail -5

python3 << 'EOF' from rembg import remove from PIL import Image import io # Open the extracted photo input_img = Image.open('/tmp/workspace/extracted_photo.png') print(f"Input: {input_img.mode}, {input_img.size}") # Remove background (returns RGBA image with transparent bg) output_img = remove(input_img) print(f"Output (after rembg): {output_img.mode}, {output_img.size}") # Create white background and paste white_bg = Image.new('RGB', output_img.size, (255, 255, 255)) white_bg.paste(output_img, mask=output_img.split()[3]) # use alpha channel as mask # Save as JPEG (white background photo) white_bg.save('/tmp/workspace/photo_white_bg.jpg', 'JPEG', quality=95) print("Saved: /tmp/workspace/photo_white_bg.jpg") # Also save as PDF from reportlab.lib.pagesizes import A4 from reportlab.platypus import SimpleDocTemplate, Image as RLImage from reportlab.lib.units import cm # Save white bg photo as PNG first white_bg.save('/tmp/workspace/photo_white_bg.png', 'PNG') # Make PDF doc = SimpleDocTemplate('/tmp/workspace/photo_white_bg.pdf', pagesize=A4) rl_img = RLImage('/tmp/workspace/photo_white_bg.png', width=15*cm, height=19*cm) doc.build([rl_img]) print("Saved: /tmp/workspace/photo_white_bg.pdf") EOF

Kya improve karna chahte ho?

Kaunsa moving effect chahiye? · Output kaise chahiye?

mkdir -p /tmp/workspace/animated-video && ls /tmp/workspace/

cd /tmp/workspace/animated-video && wget -q "https://d361swluvexzqs.cloudfront.net/chats-attachments/Video-20260806-01-1786021354958-bi9fux.mp4" -O input_video.mp4 && ls -lh input_video.mp4

curl -L "https://d361swluvexzqs.cloudfront.net/chats-attachments/Video-20260806-01-1786021354958-bi9fux.mp4" -o /tmp/workspace/animated-video/input_video.mp4 && ls -lh /tmp/workspace/animated-video/input_video.mp4

python3 << 'EOF' import cv2 import numpy as np import os video_path = '/tmp/workspace/animated-video/input_video.mp4' out_dir = '/tmp/workspace/animated-video/photos' os.makedirs(out_dir, exist_ok=True) cap = cv2.VideoCapture(video_path) fps = cap.get(cv2.CAP_PROP_FPS) total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) duration = total_frames / fps print(f"FPS: {fps}, Total frames: {total_frames}, Duration: {duration:.2f}s") # Extract one representative frame from each "photo segment" # Sample at regular intervals to get key frames # From the analysis: 6 photos, ~20 seconds long # Sample at 1s, 3s, 7s, 10s, 13s, 16s, 19s to catch each photo sample_times = [1.0, 3.5, 7.0, 10.0, 13.5, 16.5, 19.0] saved = [] for t in sample_times: frame_num = int(t * fps) if frame_num >= total_frames: continue cap.set(cv2.CAP_PROP_POS_FRAMES, frame_num) ret, frame = cap.read() if ret: path = f"{out_dir}/photo_{len(saved)+1:02d}.jpg" cv2.imwrite(path, frame, [cv2.IMWRITE_JPEG_QUALITY, 95]) saved.append(path) print(f"Saved frame at {t}s -> {path}, shape={frame.shape}") cap.release() print(f"\nTotal photos saved: {len(saved)}") EOF

python3 << 'EOF' import cv2 import numpy as np import os import glob photos_dir = '/tmp/workspace/animated-video/photos' output_path = '/tmp/workspace/animated-video/animated_output.mp4' # Load all photos photo_files = sorted(glob.glob(f"{photos_dir}/photo_*.jpg")) print(f"Photos found: {len(photo_files)}") W, H = 720, 720 FPS = 30 DURATION_PER_PHOTO = 3.5 # seconds per photo TRANSITION_FRAMES = 20 # frames for crossfade transition FRAMES_PER_PHOTO = int(FPS * DURATION_PER_PHOTO) fourcc = cv2.VideoWriter_fourcc(*'mp4v') writer = cv2.VideoWriter(output_path, fourcc, FPS, (W, H)) def resize_fill(img, w, h): """Resize image to fill w x h, center crop""" ih, iw = img.shape[:2] scale = max(w/iw, h/ih) * 1.3 # extra 30% for zoom room nw, nh = int(iw*scale), int(ih*scale) img = cv2.resize(img, (nw, nh), interpolation=cv2.INTER_LANCZOS4) x = (nw - w) // 2 y = (nh - h) // 2 return img[y:y+h, x:x+w] def apply_effect(img, effect, t, total): """Apply animated effect. t = frame index (0..total-1)""" progress = t / max(total - 1, 1) # 0.0 -> 1.0 ih, iw = img.shape[:2] if effect == 'zoom_in': # Ken Burns: slow zoom in from 1.0 to 1.15, slight pan right scale = 1.0 + 0.15 * progress cx = iw/2 + 20 * progress cy = ih/2 elif effect == 'zoom_out': # Ken Burns: zoom out 1.15 -> 1.0, pan left scale = 1.15 - 0.15 * progress cx = iw/2 - 20 * progress cy = ih/2 elif effect == 'pan_left': # Pan left to right scale = 1.1 cx = iw/2 - 40 + 80 * progress cy = ih/2 elif effect == 'pan_up': # Pan bottom to top scale = 1.12 cx = iw/2 cy = ih/2 + 40 - 80 * progress elif effect == 'rotate_zoom': # Slight rotation + zoom scale = 1.0 + 0.1 * progress angle = -2 + 4 * progress # -2 to +2 degrees cx, cy = iw/2, ih/2 M = cv2.getRotationMatrix2D((cx, cy), angle, scale) out = cv2.warpAffine(img, M, (iw, ih), flags=cv2.INTER_LANCZOS4, borderMode=cv2.BORDER_REFLECT) return out elif effect == 'diagonal_pan': # Pan diagonally scale = 1.15 cx = iw/2 - 30 + 60 * progress cy = ih/2 - 30 + 60 * progress else: return img # Affine zoom + pan M = cv2.getRotationMatrix2D((cx, cy), 0, scale) M[0, 2] += (W/2 - cx) M[1, 2] += (H/2 - cy) out = cv2.warpAffine(img, M, (W, H), flags=cv2.INTER_LANCZOS4, borderMode=cv2.BORDER_REFLECT) return out def crossfade(img1, img2, alpha): return cv2.addWeighted(img1, 1-alpha, img2, alpha, 0) # Effects list - assign different effect to each photo effects = ['zoom_in', 'zoom_out', 'pan_left', 'pan_up', 'rotate_zoom', 'diagonal_pan', 'zoom_in'] # Preload and prep images images = [] for p in photo_files: img = cv2.imread(p) img = resize_fill(img, W, H) images.append(img) print(f"Generating animated video with {len(images)} photos...") for idx, (img, effect) in enumerate(zip(images, effects)): print(f" Photo {idx+1}/{len(images)}: effect={effect}") next_img = images[idx+1] if idx+1 < len(images) else None # Pre-render all frames for this photo rendered = [] for t in range(FRAMES_PER_PHOTO): frame = apply_effect(img, effect, t, FRAMES_PER_PHOTO) rendered.append(frame) # Write main frames (minus last TRANSITION_FRAMES) main_end = FRAMES_PER_PHOTO - TRANSITION_FRAMES if next_img is not None else FRAMES_PER_PHOTO for t in range(main_end): writer.write(rendered[t]) # Write crossfade transition to next photo if next_img is not None: next_rendered = [] for t in range(TRANSITION_FRAMES): f = apply_effect(next_img, effects[idx+1], t, FRAMES_PER_PHOTO) next_rendered.append(f) for t in range(TRANSITION_FRAMES): alpha = t / TRANSITION_FRAMES blend = crossfade(rendered[main_end + t], next_rendered[t], alpha) writer.write(blend) writer.release() print(f"\nDone! Saved to: {output_path}") import os size = os.path.getsize(output_path) print(f"File size: {size/1024/1024:.2f} MB") EOF

# Check if ffmpeg available and add audio from original which ffmpeg && echo "ffmpeg available" || echo "no ffmpeg"

# Try to add audio using moviepy python3 -c "from moviepy.editor import VideoFileClip; print('moviepy ok')"