Files
tfm_ainventory/venv/lib/python3.12/site-packages/piexif/_remove.py
Daniel Bedeleanu 3aafacab12 feat(phase1): implement OpenCV image processing pipeline
- 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
2026-04-20 22:17:11 +03:00

56 lines
1.6 KiB
Python

import io
from ._common import *
from piexif import _webp
def remove(src, new_file=None):
"""
py:function:: piexif.remove(filename)
Remove exif from JPEG.
:param str filename: JPEG
"""
output_is_file = False
if src[0:2] == b"\xff\xd8":
src_data = src
file_type = "jpeg"
elif src[0:4] == b"RIFF" and src[8:12] == b"WEBP":
src_data = src
file_type = "webp"
else:
with open(src, 'rb') as f:
src_data = f.read()
output_is_file = True
if src_data[0:2] == b"\xff\xd8":
file_type = "jpeg"
elif src_data[0:4] == b"RIFF" and src_data[8:12] == b"WEBP":
file_type = "webp"
if file_type == "jpeg":
segments = split_into_segments(src_data)
exif = get_exif_seg(segments)
if exif:
new_data = src_data.replace(exif, b"")
else:
new_data = src_data
elif file_type == "webp":
try:
new_data = _webp.remove(src_data)
except ValueError:
new_data = src_data
except e:
print(e.args)
raise ValueError("Error occurred.")
if isinstance(new_file, io.BytesIO):
new_file.write(new_data)
new_file.seek(0)
elif new_file:
with open(new_file, "wb+") as f:
f.write(new_data)
elif output_is_file:
with open(src, "wb+") as f:
f.write(new_data)
else:
raise ValueError("Give a second argument to 'remove' to output file")