resnet-50-tf¶
Use Case and High-Level Description¶
resnet-50-tf
is a TensorFlow* implementation of ResNet-50 - an image classification model pre-trained on the ImageNet dataset. Originally redistributed in Saved model format, converted to frozen graph using tf.graph_util
module. For details see paper, repository.
Steps to Reproduce Conversion to Frozen Graph¶
Install TensorFlow*, version 1.14.0.
Download pre-trained weights
Run example conversion code, available at freeze_saved_model.py
python3 freeze_saved_model.py --saved_model_dir path/to/downloaded/saved_model --save_file path/to/resulting/frozen_graph.pb
Specification¶
Metric |
Value |
---|---|
Type |
Classification |
GFLOPs |
8.2164 |
MParams |
25.53 |
Source framework |
TensorFlow* |
Accuracy¶
Metric |
Original model |
Converted model |
---|---|---|
Top 1 |
76.45% |
76.17% |
Top 5 |
93.05% |
92.98% |
Input¶
Original Model¶
Image, name: map/TensorArrayStack/TensorArrayGatherV3
, shape: 1, 224, 224, 3
, format is B, H, W, C
, where:
B
- batch sizeH
- heightW
- widthC
- channel
Channel order is RGB
. Mean values: [123.68, 116.78, 103.94].
Converted Model¶
Image, name: map/TensorArrayStack/TensorArrayGatherV3
, shape: 1, 224, 224, 3
, format is B, H, W, C
, where:
B
- batch sizeH
- heightW
- widthC
- channel
Channel order is BGR
.
Output¶
Original Model¶
Object classifier according to ImageNet classes, name: softmax_tensor
, shape: 1, 1001
, output data format is B, C
, where:
B
- batch sizeC
- predicted probabilities for each class in [0, 1] range
Converted Model¶
Object classifier according to ImageNet classes, name: softmax_tensor
, shape: 1, 1001
, output data format is B, C
, where:
B
- batch sizeC
- predicted probabilities for each class in [0, 1] range
Download a Model and Convert it into Inference Engine Format¶
You can download models and if necessary convert them into Inference Engine format using the Model Downloader and other automation tools as shown in the examples below.
An example of using the Model Downloader:
python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
An example of using the Model Converter:
python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
Legal Information¶
The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in <omz_dir>/models/public/licenses/APACHE-2.0-TF-Models.txt
.