76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
import numpy as np
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from PIL import Image
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import requests
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from io import BytesIO
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from fastvideo.models.dits.hyworld.data_utils import generate_crop_size_list
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# Target resolution configs (matching HY-WorldPlay)
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TARGET_SIZE_CONFIG = {
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"360p": {
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"bucket_hw_base_size": 480,
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"bucket_hw_bucket_stride": 16
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},
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"480p": {
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"bucket_hw_base_size": 640,
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"bucket_hw_bucket_stride": 16
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},
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"720p": {
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"bucket_hw_base_size": 960,
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"bucket_hw_bucket_stride": 16
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},
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"1080p": {
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"bucket_hw_base_size": 1440,
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"bucket_hw_bucket_stride": 16
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},
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}
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def get_closest_resolution(image_height, image_width, target_resolution="480p"):
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"""
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Get closest supported resolution for given image dimensions.
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Args:
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image_height: Height of input image
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image_width: Width of input image
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target_resolution: Target resolution string (e.g., "480p", "720p")
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Returns:
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tuple[int, int]: (height, width) of closest supported resolution
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"""
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config = TARGET_SIZE_CONFIG[target_resolution]
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bucket_hw_base_size = config["bucket_hw_base_size"]
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bucket_hw_bucket_stride = config["bucket_hw_bucket_stride"]
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crop_size_list = generate_crop_size_list(bucket_hw_base_size, bucket_hw_bucket_stride)
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aspect_ratios = np.array([round(float(h) / float(w), 5) for h, w in crop_size_list])
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# Find closest aspect ratio
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image_ratio = float(image_height) / float(image_width)
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closest_idx = np.abs(aspect_ratios - image_ratio).argmin()
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closest_size = crop_size_list[closest_idx]
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return closest_size[0], closest_size[1] # (height, width)
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def get_resolution_from_image(image_path, target_resolution="480p"):
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"""
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Automatically determine resolution from input image.
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Args:
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image_path: Path or URL to input image
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target_resolution: Target resolution tier ("480p", "720p", etc.)
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Returns:
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tuple[int, int]: (height, width) matching HY-WorldPlay's bucket selection
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"""
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# Handle URL inputs
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if isinstance(image_path, str) and image_path.startswith(('http://', 'https://')):
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response = requests.get(image_path)
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response.raise_for_status()
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img = Image.open(BytesIO(response.content))
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else:
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img = Image.open(image_path)
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img_width, img_height = img.size
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return get_closest_resolution(img_height, img_width, target_resolution)
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