google-coral

问题 I am using sockets to connect to Coral devboard. I want to connect to the devboard and execute a classification script. Whenever I execute my code (lines below) , it shows "In [3]:" for around 10 seconds as if waiting for something. Then "In [4]" appears. What is it happening? I already sent the user and password. This is my code: import socket TCP_IP = '172.16.1.11' TCP_PORT = 22 BUFFER_SIZE = 1024 s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.connect((TCP_IP, TCP_PORT)) s.send(b

问题 How to install tf on coral dev? Getting errors following this on coral dev board like compile.sh not found etc. Please give detailed explaination. 回答1: It is really not going to be possible to help if you don't give details on what you've done or what errors you ran into while trying to install it. However, since the objective is to install tensorflow on the board, you can just do this using this pre-built package: $ wget https://github.com/lhelontra/tensorflow-on-arm/releases/download/v2.0.0

问题 I'm using MobileNetV2 and trying to get it working for Google Coral. Everything seems to work except the Coral Web Compiler, throws a random error, Uncaught application failure . So I think the problem is the intemidary steps required. For example, I'm using this with tflite_convert tflite_convert \ --graph_def_file=optimized_graph.pb \ --output_format=TFLITE \ --output_file=mobilenet_v2_new.tflite \ --inference_type=FLOAT \ --inference_input_type=FLOAT \ --input_arrays=input \ --output

问题 I'm using MobileNetV2 and trying to get it working for Google Coral. Everything seems to work except the Coral Web Compiler, throws a random error, Uncaught application failure . So I think the problem is the intemidary steps required. For example, I'm using this with tflite_convert tflite_convert \ --graph_def_file=optimized_graph.pb \ --output_format=TFLITE \ --output_file=mobilenet_v2_new.tflite \ --inference_type=FLOAT \ --inference_input_type=FLOAT \ --input_arrays=input \ --output

问题 I'm using MobileNetV2 and trying to get it working for Google Coral. Everything seems to work except the Coral Web Compiler, throws a random error, Uncaught application failure . So I think the problem is the intemidary steps required. For example, I'm using this with tflite_convert tflite_convert \ --graph_def_file=optimized_graph.pb \ --output_format=TFLITE \ --output_file=mobilenet_v2_new.tflite \ --inference_type=FLOAT \ --inference_input_type=FLOAT \ --input_arrays=input \ --output

问题 I'm using MobileNetV2 and trying to get it working for Google Coral. Everything seems to work except the Coral Web Compiler, throws a random error, Uncaught application failure . So I think the problem is the intemidary steps required. For example, I'm using this with tflite_convert tflite_convert \ --graph_def_file=optimized_graph.pb \ --output_format=TFLITE \ --output_file=mobilenet_v2_new.tflite \ --inference_type=FLOAT \ --inference_input_type=FLOAT \ --input_arrays=input \ --output

问题 Recently I updated and flushed the dev board with mendel-enterprise-day-13 according to the coral AI official documentation. After that, when I want to connect from my desktop Ubuntu 19.04 using mdt shell or mdt shell <ip> , it does not work and gives an error message as follows. mdt shell does not work Connecting to 192.168.101.2 at 192.168.101.2 Key not present on 192.168.101.2 -- pushing It looks like you're trying to connect to a device that isn't connected to your workstation via USB and

问题 Recently I updated and flushed the dev board with mendel-enterprise-day-13 according to the coral AI official documentation. After that, when I want to connect from my desktop Ubuntu 19.04 using mdt shell or mdt shell <ip> , it does not work and gives an error message as follows. mdt shell does not work Connecting to 192.168.101.2 at 192.168.101.2 Key not present on 192.168.101.2 -- pushing It looks like you're trying to connect to a device that isn't connected to your workstation via USB and

问题 I'm trying to do post-training full 8-bit quantization of a Keras model to compile and deploy to EdgeTPU. I have a trained Keras model saved as .h5 file, and am trying to go through the steps as specified here: https://coral.withgoogle.com/docs/edgetpu/models-intro/, for deployment to the Coral Dev Board. I'm following these instructions for quantization: https://www.tensorflow.org/lite/performance/post_training_quantization#full_integer_quantization_of_weights_and_activations) I’m trying to

问题 I'm trying to get a Mobilenetv2 model (retrained last layers to my data) to run on the Google edge TPU Coral. I've followed this tuturial https://www.tensorflow.org/lite/performance/post_training_quantization?hl=en to do the post-training quantization. The relevant code is: ... train = tf.convert_to_tensor(np.array(train, dtype='float32')) my_ds = tf.data.Dataset.from_tensor_slices(train).batch(1) # POST TRAINING QUANTIZATION def representative_dataset_gen(): for input_value in my_ds.take(30)