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| @@ -0,0 +1,304 @@ | |||
| import tensorflow as tf | |||
| import tensorflow.keras as keras | |||
| from .utils import * | |||
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What are you trying to import here?
| with tf.compat.v1.variable_scope('conv0',reuse=reuse): | ||
| if reuse == tf.compat.v1.AUTO_REUSE: | ||
| tf.print(bottom, ['left_batch_size:',bottom]) | ||
| self._add_to_layers('CNN/conv0/conv0_1', sharedLayers.conv2d(bottom, [3, 3, 3, 32], \ |
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you can set the shape of the filter to [3, 3, input_batch.get_shape()[-1].value, 32] to handle inputs with a number of channels different from 3
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line 70 has been changed to the following:
self._add_to_layers('CNN/conv0/conv0_1', sharedLayers.conv2d(bottom, [3, 3, bottom.get_shape()[-1].value, 32],
activation=tf.nn.leaky_relu, batch_norm=True, apply_relu=True,strides=2, name='conv0_1',reuse=reuse))
The same error.
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I try to train on scene_flow dataset. the train script is the following:
CUDA_VISIBLE_DEVICES=4 python Train.py --trainingSet=/host/nfs/hs/scene_flow/train.list --validationSet=/host/nfs/hs/scene_flow/val.list --output=_output_PSMNet --modelName=PSMNet --imageShape 256 512 --batchSize=1 --numEpochs=10