One of the last resorts for troubleshooting your Onn TV is performing a factory reset. Since a factory reset removes all saved data, it is usually not used as a first troubleshooting step. Make sure to save all important data and settings from your TV before performing a factory reset. To ...
用于存储已在各种框架之间相互转换的模型的存储库。支持的框架有TensorFlow、PyTorch、ONNX、OpenVINO、TFJS、TFTRT、TensorFlowLite(Float32/16/INT8)、EdgeTPU、CoreML。 - KangChou/PINTO_model_zoo
TensorFlow Lite, OpenVINO, CoreML, TensorFlow.js, TF-TRT, MediaPipe, ONNX [.tflite, .h5, .pb, saved_model, tfjs, tftrt, mlmodel, .xml/.bin, .onnx] I have been working on quantization of various models as a hobby, but I have skipped the work of making sample code to check the...
116 DroNet ■■■ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ DroNet,DroNetV3 123 YOLOR ■■■ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ssss_s2d/320x320,640x640,960x960,1280x1280 132 YOLOX ■■■ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ ⚫ nano,tiny,s,m,l,x/...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML. - PINTO0309/PINTO_model_zoo
reset_default_graph() with ops.Graph().as_default(): with tf.gfile.GFile(graph_filepath, 'rb') as f: graph_def = tf.GraphDef() graph_def.ParseFromString(f.read()) return graph_def def optimize_graph(model_dir, graph_filename, transforms, input_name, output_names, outname='...
reset_default_graph() with ops.Graph().as_default(): with tf.gfile.GFile(graph_filepath, 'rb') as f: graph_def = tf.GraphDef() graph_def.ParseFromString(f.read()) return graph_def def optimize_graph(model_dir, graph_filename, transforms, input_name, output_names, outname='...