4/11/2023 0 Comments Delete cammask![]() You can define up to six broadcast sources, on a separate window, which can be videos from local folders, still images or even live streams of your desktop. Streaming videos or images can be managed on the same user interface and you can choose to play them once, shuffled or on a loop. The application provides a large number of special effects for your webcam. You can apply one or more effects instantly and disable or remove them just as fast. #Mac software like cammask trialĬamMask works as a virtual webcam as well, which can broadcast videos, images or live streams of your desktop.Ī nag screen will show up each time you run the trial version.ĬamMask gives you the possibility of surprising your friends with a huge number of webcam effects.CamMask provides your webcam with powerful characteristic functions. ![]() It supplies thousands of special effects when you video chat with your friends. And it allows you to output video, image gallery, desktop, gradient / solid to your webcam. You can also graffiti the screen, and even add the text and date. Picture-in-picture and convenient snapshot/recording functions are also supported.īecause CamMask uses a virtual webcam driver, you can you use your webcam for several applications, website or flash, simultaneously. This makes it possible for CamMask create at six preset viewports, each one with independent special effects, video sources, and so on. Experimental results manifest the effectiveness and generality of the proposed method.Fix the problem that App crash when selecting a folder to add to the image gallery.Fix the problem that it does not remember user choice of keyboard shortcut in zoom field under Sources>Desktop.Fix the problem that “Capture area of window” under Sources>Desktop is not working.Put App data folder in the user directory instead of the user library.Allow create Multiple viewports, switch as you wish.Picture in Picture,Output multiple video pictures simultaneously.Multiple video sources, convert photo gallery, video, Real-time desktop, Gradient/Solid color to Webcam pictures.Snapshot/Video manager, Recording precious moment at any time and share with your friends.Show the date or other text in the video-chat picture.Video Doodle, allow you draw anything as you wish in the video-chat picture.Background replacement, Are you still there? No, you can be anywhere after changing the background.Magic Face changing, suddenly turn into celebrity.Add thousands of incredible special effects into your Webcam pictures.Virtual Webcam Driver, let the CamMask completely integrate into the chat software and allow them work at the same time.CamMask add new power for your Webcam, make your video chat more interesting and out of the ordinary.CamMask turns your computer into a video studio as if having multiple webcams. And the maximum decline of the Top-1 error rate is 3.35% on the Mini-ImageNet. On the CIFAR-100 dataset, the Top-1 error rate decreases by up to 3.69%. On the CIFAR-10 dataset, the Top-1 error rate drops by 2.15% at most. A significant improvement in classification performance has achieved with the IM scheme. Extensive experiments are conducted on challenging datasets. ![]() Lastly, the augmentation scheme will be randomly used to the training stage. Then the label constructed by the most interpretive superpixel-set is applied to maintain the consistency between the augmented sample and its original label. Secondly, the sample represented by the superpixel-set is utilized to synthesize the region-level disturbance augmentation sample with a random removal strategy. Concretely, we first construct a set-based representation for a sample and its label by superpixel segmentation and the Local Interpretable Model-agnostic Explanations (LIME) operator. In this paper, we propose a novel data augmentation scheme named Interpretability-Mask (IM), which exploits the inter-pretability of the classifier to obtain the most discriminative regions and preserve label invariance. However, the inconsistency problem between the augmented sample and its original label is still a critical challenge during the augmentation operation. Data augmentation effectively alleviates the over-fitting problem in convolutional neural network-based (CNN-based) models, especially in the limited dataset. ![]()
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