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Hi All , facing the following issue , while locating the element with ai.
[debug] [WD Proxy] Got response with status 200: "{"sessionId":"5b49b524-d285-4e48-a12b-e74bd1e1bea3","status":0,"value":"iVBORw0KGgoAAAANSUhEUgAAAtAAAAXwCAYAAAB7XHwkAAAABHNCSVQICAgIfAhkiAAAIABJREFU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\ngOSL11DX1NDRTQMAxCydB6+e7vj+58OwsrLE44+MwytL5uCNdz\...
[ai] Turning screenshot into HTML image for use with canvas
[ai] Getting screenshot slices for each element
[ai] Making label predictions based on element images
tf.loadFrozenModel() is going away. Use tf.loadGraphModel() instead, and note the positional argument changes. You can disable deprecation warnings with tf.disableDeprecationWarnings().
============================
Hi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.
tf.fromPixels() is renamed to tf.browser.fromPixels(), please switch to the new method as the old method will be removed in TensorFlow.js 1.0. You can disable deprecation warnings with tf.disableDeprecationWarnings().
[ai] Predictions for 29 element(s) took 345.222 seconds
[ai] Found 0 matching elements
[ai] Resetting element response attribute setting to original value: ""
[UiAutomator2] Forwarding the following settings to the UiAutomator2 server: ["elementResponseAttributes"]
[debug] [WD Proxy] Matched '/appium/settings' to command name 'updateSettings'
The text was updated successfully, but these errors were encountered:
Hi All , facing the following issue , while locating the element with ai.
[debug] [WD Proxy] Got response with status 200: "{"sessionId":"5b49b524-d285-4e48-a12b-e74bd1e1bea3","status":0,"value":"iVBORw0KGgoAAAANSUhEUgAAAtAAAAXwCAYAAAB7XHwkAAAABHNCSVQICAgIfAhkiAAAIABJREFU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\ngOSL11DX1NDRTQMAxCydB6+e7vj+58OwsrLE44+MwytL5uCNdz\...
[ai] Turning screenshot into HTML image for use with canvas
[ai] Getting screenshot slices for each element
[ai] Making label predictions based on element images
tf.loadFrozenModel() is going away. Use tf.loadGraphModel() instead, and note the positional argument changes. You can disable deprecation warnings with tf.disableDeprecationWarnings().
============================
Hi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.
tf.fromPixels() is renamed to tf.browser.fromPixels(), please switch to the new method as the old method will be removed in TensorFlow.js 1.0. You can disable deprecation warnings with tf.disableDeprecationWarnings().
[ai] Predictions for 29 element(s) took 345.222 seconds
[ai] Found 0 matching elements
[ai] Resetting element response attribute setting to original value: ""
[UiAutomator2] Forwarding the following settings to the UiAutomator2 server: ["elementResponseAttributes"]
[debug] [WD Proxy] Matched '/appium/settings' to command name 'updateSettings'
The text was updated successfully, but these errors were encountered: