Daniel Bedeleanu
3aafacab12
- Create ImageProcessor service with EXIF orientation detection - Implement smart cropping via OpenCV contour detection (10% padding) - Add text orientation detection using Hough line transform - Resize and compress images to 1200px with 85% JPEG quality - Generate 200px square thumbnails with center crop - Fallback to Pillow if OpenCV fails - Comprehensive test suite: 28 tests all passing - File size validation (reject >10MB) - Graceful error handling for corrupted/invalid images - Update requirements.txt with opencv-python, piexif, python-magic
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import io
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from ._common import *
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def transplant(exif_src, image, new_file=None):
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"""
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py:function:: piexif.transplant(filename1, filename2)
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Transplant exif from filename1 to filename2.
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:param str filename1: JPEG
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:param str filename2: JPEG
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"""
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if exif_src[0:2] == b"\xff\xd8":
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src_data = exif_src
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else:
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with open(exif_src, 'rb') as f:
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src_data = f.read()
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segments = split_into_segments(src_data)
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exif = get_exif_seg(segments)
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if exif is None:
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raise ValueError("not found exif in input")
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output_file = False
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if image[0:2] == b"\xff\xd8":
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image_data = image
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else:
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with open(image, 'rb') as f:
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image_data = f.read()
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output_file = True
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segments = split_into_segments(image_data)
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new_data = merge_segments(segments, exif)
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if isinstance(new_file, io.BytesIO):
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new_file.write(new_data)
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new_file.seek(0)
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elif new_file:
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with open(new_file, "wb+") as f:
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f.write(new_data)
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elif output_file:
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with open(image, "wb+") as f:
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f.write(new_data)
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else:
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raise ValueError("Give a 3rd argument to 'transplant' to output file") |