mitmproxy helper by txthinking vs Cam4DL Kullanım & İstatistikleri

Why you need this: https://talks.txthinking.com/articles/mobile-capture-en.article This is a helper app for mitmproxy, which is freely available at https://github.com/mitmproxy/mitmproxy. It is not developed by the mitmproxy project. [Capture on TCP/IP layer, NOT system proxy] - The helper captures all IP packets (IP layer) - Next assemble into TCP stream (TCP layer) - Next assemble into socks5 stream (Application layer) - Next send to mitmproxy Required: https://github.com/mitmproxy/mitmproxy installed on your desktop - Intercept HTTP & HTTPS requests and responses and modify them on the fly - Save complete HTTP conversations for later replay and analysis - Replay the client-side of an HTTP conversations - Replay HTTP responses of a previously recorded server - Reverse proxy mode to forward traffic to a specified server - Transparent proxy mode on macOS and Linux - Make scripted changes to HTTP traffic using Python - SSL/TLS certificates for interception are generated on the fly - And much, much more…
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Cam4DL is an app for creating image and video datasets that are typically needed in deep learning projects. RECORD VIDEO CLIPS READY FOR ACTION CLASSIFICATION With Cam4DL you can now record small video clips that you can use for training an action classifier in CreateML. You can choose to record these video clips with the same frame rate and timing options available during CreateML training phase. You can record multiple video clips automatically and hands free. First select a category then tap on the shutter button to start the recording. When a video clip recording ends you have 3 seconds to get ready for the next clip recording. This automatically starts until you stop the recording by tapping again on the shutter button. The video clips are recorded without sound because this is hardly used for action classification. TAKE PHOTOS FOR OBJECT AND FACE ANALYSIS Using Cam4DL you can also take photos organized in categories and optionally generate depth maps and face metadata with ease at the moment of capture. Just create a project of type Face or Object, and choose if you want to include a depth map. Then choose if you want to optionally crop and resize the image at the moment of capture. You can then start taking photos that are automatically cropped, resized and organized in folders along with their metadata. The best part of Cam4DL is that all of the generated data is open and accessible from the Apple Files app, so that transferring this data to your workstation is easier and faster than ever. FACE DATA AND DEPTHMAP AUTOMATICALLY COMPUTED When you take a photo inside a project of type Face, the app automatically computes face features and save them in json files, so that you can later use them for your data science projects. When you select the depth map option during project creation, the app automatically computes the depth map while you take the photo and stores it in a png file. Cam4DL keeps the dataset pictures separate from Apple's Photos app. OPEN ACCESS TO ALL THE GENERATED DATA All the photos you take with Cam4DL and the relative metadata such as the face data are categorized and saved inside the app's document directory so that you can easily share them with your workstation for training. To access the data generated by Cam4DL, just open Apple's Files app and then navigate to "iPhone -> Cam4DL" folder. Made with Love and SwiftUI WARNING: All the datasets are stored inside the app's sandbox. For this reason if you delete the app you also delete the datasets, including all the videos, photos and the associated metadata. If you for any reason need to delete the app REMEMBER TO BACKUP your datasets to another location using the Files app.
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mitmproxy helper by txthinking ile Cam4DL için sıralama karşılaştırması

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Aralık 10, 2024