table = np.array([ i*brightness_factorforiinrange (0,256)]).clip(0,255).astype('uint8')# same thing but a bit slower# cv2.convertScaleAbs(img, alpha=brightness_factor, beta=0)ifimg.shape[2] ==1:returncv2.LUT(img, table)[:,:,np.newaxis]else:returncv2.LUT(img, table) 开发者...
convertScaleAbs(img, alpha=brightness_factor, beta=0) if img.shape[2]==1: return cv2.LUT(img, table)[:,:,np.newaxis] else: return cv2.LUT(img, table) Example #9Source File: utils.py From answer-sheet-scan with MIT License 6 votes def get_init_process_img(roi_img): """ 对...
The stacks were resliced with a factor of four along the z-axis. 3D maximum intensity projections were generated with Fiji (projection method: brightest point, 360° rotation angle, angular increments were set at 1° or 10°). The multi-view registration and fusion of the organoid stack ...
In detail, we multiply the result of G by F after transposing it, then divide it by the scaling factor 𝑑𝐺−−√dG. After normalizing the resulting result using the softmax function, we apply the obtained degree of attention to the output of the features using H. Then, the ...
Sea surface temperature (SST) is a crucial factor that affects global climate and marine activities. Predicting SST at different temporal scales benefits various applications, from short-term SST prediction for weather forecasting to long-term SST prediction for analyzing El Niño–Southern Oscillation...
A three-phase source converter transforms the 500 V DC to 260 V AC and keeps the unity power factor. To connect the converter to the grid, a 100 (kVA) 260 (V)/25 (kV) three-phase coupling transformer is employed. Figure 7. Schematic of a parallel system on a direct bus. 3.2. ...
Dilatancy is a critical factor governing the generation and propagation of micro-cracks that lead to macroscopic shear crack propagation [33]. Samples subjected to lower confining pressures experience easier generation and the propagation of micro-cracks. Consequently, with increasing confining pressure, ...
Shadows are an important factor that has to be considered when extracting buildings from remote sensing images. Shadows can have an impact on the shape and location information of a building, which may lead to blurring of the building outline, making it difficult to accurately determine the ...
To prevent overfitting, a learning rate decay schedule is employed, reducing the learning rate by a factor of 0.1 every 50 epochs. The combination of these parameters is crucial for achieving stable and efficient training, leading to a model that is capable of restoring images with high fidelity...
Figure 6. Overview of the coordinate vector regression module, where K is the scaling factor, H and W are the height and width of the original image, and M is the number of keypoints marked for each human instance. Coordinate Encoding: In this method, the x and y coordinates of the ...