4/19/2024 0 Comments For ios download Coco![]() ![]() This repo includes two pre-trained and TF-quantized models (to reduce the model size significantly): quantized-tiny-yolo.pb and quantized-tiny-yolo-voc.pb. Run the app in Xcode on simulator or device and tap the button to see results as the screenshot below. Still I included OpenCV in the project to be ready for other more advanced OpenCV based CV processing After that, you'll see libprotobuf.a and libprotobuf-lite.a in tensorflow/contrib/makefile/gen/protobuf_ios/lib/, and libtensorflow-core.a in tensorflow/contrib/makefile/gen/lib Ĭlone this repo and then move the whole folder yolov2_tf_ios to tensorflow/contrib/ios_examples/ (so the TF libraries built in step 2 will be available to the project) and open the project in Xcode ĭownload the OpenCV 3.2.0 iOS pack here and then drag and drop the amework to the Xcode project - this is used for drawing bounding boxes but of course you can do so (easily) with the iOS API too. ![]() Howīuild the TensorFlow iOS libraries by following the instructions here. Please check out my blog for the latest info on this app and tutorials on other TensorFlow mobile apps. An iOS app based on the repo has been published and available for free download here. This repo contains a sample iOS app that runs with a 80-class COCO trained tiny-yolo model and the TensorFlow libraries to do object detection and show the detected results and the bounding boxes. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |