Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-07-26 13:47:03 +02:00
Code Issues Projects Releases Wiki Activity

remove LPR denoising (#17412)

Browse Source
This commit is contained in:
Josh Hawkins 2025-03-27 09:49:10 -05:00 committed by GitHub
parent a35146ab61
commit 6ec7d96ec9
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 1 additions and 25 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

26
frigate/data_processing/common/license_plate/mixin.py
View File

@ -634,37 +634,13 @@ class LicensePlateProcessingMixin:
else:
gray = image
# detect noise with Laplacian variance
laplacian = cv2.Laplacian(gray, cv2.CV_64F)
noise_variance = np.var(laplacian)
brightness = cv2.mean(gray)[0]
noise_threshold = 70
brightness_threshold = 150
is_noisy = (
noise_variance > noise_threshold and brightness < brightness_threshold
)
# apply bilateral filter and sharpening only if noisy
if is_noisy:
logger.debug(
f"Noise detected (variance: {noise_variance:.1f}, brightness: {brightness:.1f}) - denoising"
)
smoothed = cv2.bilateralFilter(gray, d=15, sigmaColor=100, sigmaSpace=100)
sharpening_kernel = np.array([[-1, -1, -1], [-1, 9, -1], [-1, -1, -1]])
processed = cv2.filter2D(smoothed, -1, sharpening_kernel)
else:
logger.debug(
f"No noise detected (variance: {noise_variance:.1f}, brightness: {brightness:.1f}) - skipping denoising and sharpening"
)
processed = gray
# apply CLAHE for contrast enhancement
grid_size = (
max(4, input_w // 40),
max(4, input_h // 40),
)
clahe = cv2.createCLAHE(clipLimit=1.5, tileGridSize=grid_size)
enhanced = clahe.apply(processed)
enhanced = clahe.apply(gray)
# Convert back to 3-channel for model compatibility
image = cv2.cvtColor(enhanced, cv2.COLOR_GRAY2RGB)