Video Delogo_Inpainting
Video delogo/inpainting
propainter remove watermark with tracking, entity segmentation
you can use clip for watermark detection, but you don’t know where. fuck. you better train it yourself.
import timm
# all other pytorch imports
# Not used but necessary when running on images
transforms = T.Compose([
T.Resize((256, 256)),
T.ToTensor(),
T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
# Create model
model = timm.create_model('efficientnet_b3a', pretrained=False, num_classes=2)
model.classifier = nn.Sequential(
nn.Linear(in_features=1536, out_features=625),
nn.ReLU(),
nn.Dropout(p=0.3),
nn.Linear(in_features=625, out_features=256),
nn.ReLU(),
nn.Linear(in_features=256, out_features=2)
)
# Load model weights
state_dict = torch.load('./model.pt')
model.load_state_dict(state_dict).eval().to(device)
# Sample Image
im = torch.randn(8, 3, 256, 256)
with torch.no_grad():
pred = model(im)
syms = F.softmax(pred, dim=1).detach().cpu().numpy().tolist()
for water_sym, clear_sym in syms:
# Do whatever you want with the watermark simlarityimage local contrast enhancement, for removing hard-to-detect watermarks
maybe you can use the same trick (context preserving sliding window) from your search engine to here (image preprocessing)!
paddleocr识别效果最好 可以识别水印位置 以及文字
Linear Contrast Stretching, HE, AHE, CLAHE of an image using matlab
Histogram Equalization (HE)
Adaptive Histogram Equalization (AHE)
Contrast Limited Adaptive Histogram Equalisation (CLAHE)
experiment path:
pyjom/tests/remove_subtle_watermark_local_contrast_ocr
bing query for image local contrast
darktable lua api and scripting
darktable local contrast darktable is an open-sourced photography postprocessing software
configurations:
details: 443
highlights: 36
shadows: 25
midtone range: 0.16
imagej clahe local contrast enhancement
l2uwe L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion written in matlab
glcae Global and Local Contrast Adaptive Enhancement for Non-uniform Illumination Color Images in python
CNN-Based-X-ray-Morphological-Decomposition
github query for local image contrast
image processing basics Image Reading, writing, histogram, histogram equalization, local histogram equalization, low pass filter, high pass filter, geometrical transformation
contrast normalization is an implementation that applies local contrast normalization to images in matlab
contrast enhancement as a github topic
mclahe NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure
deepcontrast A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.
mirnetv2 (TPAMI 2022) Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
pymusica is a contrast enhancement approach involving non linear mapping of Laplacian pyramid.
imWeightedThresholdedheq attempts to enhance contrast of a given image or video by employing a method called weighted thresholded histogram equalization (WTHE).
imagemagick wand local_contrast function
dual gamma clahe Automatic Contrast-Limited Adaptive Histogram Equalization With Dual Gamma Correction
imhblpce attempts to enhance contrast of a given image by employing a method called HBLPCE.
global contrast enhancement
im2dhiseq attempts to enhance contrast of a given image by equalizing its two dimensional histogram.
previous research
deeplearning_inpainting:
https://github.com/Sanster/lama-cleaner
ffmpeg delogo:
https://www.jianshu.com/p/2eb1811b5fc6
https://hhsprings.bitbucket.io/docs/programming/examples/ffmpeg/blurring_unsharping/delogo_removelogo.html
https://securitronlinux.com/debian-testing/remove-a-logo-from-a-video-easily-with-ffmpeg/
opencv inpainting/blurring with edge blending
opencv morphlogical operations:
https://pyimagesearch.com/2021/04/28/opencv-morphological-operations/