Hodor vs Tensor Camera

Unlike the majority of system-based HTTP proxy capture software, Hodor is a packet capture tool based on the IP layer protocol. Consequently, Hodor is capable of capturing HTTP data traffic that many other capture software cannot, including the data traffic from Flutter apps. Hodor provides many useful features, including: - Packet capturing & rewriting with support for HTTP, TCP, UDP, and WebSocket data protocols. - Capturing and rewriting Flutter app traffic. - Support JavaScript extensions - HTTPS decryption to view decrypted data. - Mapping (i.e., replacing) data in HTTP requests and responses. - HTTP replaying and simulating requests and responses for server debugging without using the client again. - Formatting preview for Protobuf, Form-Data, JSON, HTML, JavaScript, and CSS. - Forwarding HTTP requests to other network tools within the local network for data processing (including traffic from Flutter apps). - Domain filtering to only view requests and responses from specific domains. - URL Scheme support for controlling the start and stop of packet capturing with commands. Hodor is an incredibly useful web debugging tool that can help you easily resolve various issues, making your work more efficient and enjoyable. Whether you are a developer or a tester, you can benefit from Hodor. Give it a try now! Automatic Subscription Service Rules 1. If you subscribe to the automatic renewal service through your Apple ID and do not actively cancel the automatic subscription service during the subscription period, Hodor will automatically deduct the next subscription fee from the balance of the Apple ID account linked to the automatic renewal service 24 hours before the current subscription period expires (subject to the actual Apple billing rules). You should pay attention to the balance and payment status of the account. If the renewal fails due to account issues or insufficient balance, you will bear the risk and/or loss by yourself. For your convenience, Apple will notify you of the upcoming deduction before processing the payment. It is important to note that based on the nature of the automatic renewal service, if you do not explicitly cancel the automatic renewal service during the subscription period, Apple will issue a deduction instruction to the relevant parties based on your permission. Generally, any fees deducted based on this instruction will not be refunded. 2. Hodor Pro Subscription Period: 1 year. 3. Hodor reserves the right to adjust service prices or stop providing automatic renewal services. If you do not agree with the adjusted service price, you can cancel the automatic renewal service according to these rules. If you do not cancel the automatic renewal service, the subsequent fees deducted by Apple will be adjusted to the new service fee. 4. The method to cancel the automatic subscription service is as follows: open the Apple iOS device "App Store" -> click on the Apple account profile picture in the upper-right corner -> enter "Account" -> click on "Subscriptions" -> select "Hodor" -> cancel the subscription. 5. Hodor may stop providing you with automatic renewal services according to operational needs. Your Hodor service period will end on the date of the expiry of the current service cycle. * Privacy Policy https://ximlu.github.io/hodor/privacy_en.html * Terms of Service https://ximlu.github.io/hodor/terms_en.html

Introducing our innovative Tensor Camera App, designed to streamline the process of testing and evaluating newly trained models in real-world scenarios. Our app seamlessly integrates with Python servers, providing a user-friendly interface to send camera feeds for instant predictions. Real-time Camera Feed: Capture live camera feeds directly within the app for immediate processing by your Computer Vision models. Whether you're testing object detection, image classification, or any other task, our app delivers real-time results. Python Server Integration: Connect effortlessly with Python servers to leverage the power of your trained models. Our app sends captured images to the server for prediction, ensuring smooth communication and seamless testing. Prediction Display: Receive predictions in real-time, displayed within the app interface. Visualize the model's output directly on your device screen, allowing for quick validation and analysis of results. User-Friendly Interface: Enjoy a seamless user experience with our intuitive and easy-to-navigate interface. Whether you're a seasoned developer or new to Computer Vision testing, our app makes the process accessible to all skill levels. Steps to Use: -Download and install the app from the respective app store on your device. -Go to my GitHub Repository from the App and learn how to set up the server. -Launch the app and configure settings such as server connection details and model selection. -Position your camera to capture the desired scene or object for testing. -Initiate the camera feed within the app and observe real-time predictions generated by your Computer Vision model. -Analyze and evaluate the model's performance based on the displayed predictions. -Optionally, adjust settings or switch to a different model for further testing. Experience the future of Computer Vision testing with our cutting-edge app. Whether you're a researcher, developer, or enthusiast, our app empowers you to test and iterate on your models with ease and efficiency.