Cancel Create saved search Sign in Sign up Reseting focus {{ message }} isaaccorley / torchrs Public Notifications You must be signed in to change notification settings Fork 50 Star 375 PyTorch implementation of popular datasets and models in remote sensing License MIT license ...
The dataset was used to train two DNN object detection algorithms, an SSD (single shot detector) MobileNet and you-only-look-once (YOLO), via transfer learning. The inference results, utilizing pretrained models obtained by minimizing a loss function in both algorithms, were obtained on a ...
Once the models pretrained or trained by yourself are available, you can use the MATLAB scriptrun_cascadercnn_coco.mto obtain the detection and evaluation results. Set the right dataset path and choose the model of your interest to test in the demo script. The default setting is for the pre...
A garbage collector that employs the train algorithm identifies popular objects by a count of references to them and places such objects into special, single-object car sections that are normally smaller than the car sections employed for objects that are less popular. When such cars are part of...
Cypress doesn’t encourage page object patterns, though page object models can be achieved in Cypress to some extentCypress doesn’t recommend it. Using async/await in your Cypress test, the test might behave unexpectedly. Parallel Testing setup is complicated in Cypress and not straightforward. ...
Firstly, even though we used face and gender detection algorithms with solid track records from an engineering perspective, we had to realize and acknowledge that the underlying machine learning models still suffer from important and significant biases, especially with respect to the empirical context ...
Validating data models and database schema Checking referential integrity and database consistency Use white box testing techniques such as statement coverage, decision coverage, condition coverage 7)Sometimes changes in database and testing available limited copies of databases may also cause the failure...
3. OpenVSLAM: OpenVSLAMis a versatile visual SLAM framework that supports monocular, stereo, and RGBD camera models and can be easily customized for other camera models. It employs an indirect SLAM algorithm based on sparse features (such as ORB-SLAM, ProSLAM, and UcoSLAM) that can create maps...
OrientDB is the first multi-model open-source NoSQL database management system that combines the power of graphs with document, key/value, reactive, object-oriented, and geospatial models into a single scalable, high-performance operational database....
At FAIR, Detectron has enabled numerous research projects, including:Feature Pyramid Networks for Object Detection,Mask R-CNN,Detecting and Recognizing Human-Object Interactions,Focal Loss for Dense Object Detection,Non-local Neural Networks,Learning to Segment Every Thing,Data Distillation: Towards Omni-...