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Add MaskRCNN with saturation issue (openvinotoolkit#798)
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daniil-lyakhov authored Jun 25, 2021
1 parent 48c242a commit 4d4d332
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2 changes: 1 addition & 1 deletion examples/tensorflow/segmentation/README.md
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Expand Up @@ -129,5 +129,5 @@ To export a model to the OpenVINO IR and run it using the Intel® Deep Learning
|**Model**|**Compression algorithm**|**Dataset**|**TensorFlow mAP, %**|**NNCF config file**|**TensorFlow checkpoint**|
| :---: | :---: | :---: | :---: | :---: | :---: |
|MaskRCNN|None|COCO2017|bbox: 37.33<br/>segm: 33.56|[mask_rcnn_coco.json](configs/mask_rcnn_coco.json)|[Link](https://storage.openvinotoolkit.org/repositories/nncf/tensorflow/models/develop/mask_rcnn_baseline.tar.gz)|
|MaskRCNN|INT8 w:sym,per-tensor a:sym,per-tensor|COCO2017|bbox: 37.12<br/>segm: 33.39|[mask_rcnn_coco_int8.json](configs/quantization/mask_rcnn_coco_int8.json)|[Link](https://storage.openvinotoolkit.org/repositories/nncf/tensorflow/models/develop/mask_rcnn_int8_w_sym_t_a_sym_t.tar.gz)|
|MaskRCNN|INT8 w:sym,per-tensor a:sym,per-tensor|COCO2017|bbox: 37.12<br/>segm: 33.52|[mask_rcnn_coco_int8.json](configs/quantization/mask_rcnn_coco_int8.json)|[Link](https://storage.openvinotoolkit.org/repositories/nncf/tensorflow/models/develop/mask_rcnn_int8_w_sym_t_half_a_sym_t.tar.gz)|
|MaskRCNN|Sparsity 50% (Magnitude)|COCO2017|bbox: 36.93<br/>segm: 33.23|[mask_rcnn_coco_magnitude_sparsity.json](configs/sparsity/mask_rcnn_coco_magnitude_sparsity.json)|[Link](https://storage.openvinotoolkit.org/repositories/nncf/tensorflow/models/develop/mask_rcnn_sparsity_50.tar.gz)|
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Expand Up @@ -21,7 +21,6 @@

"compression": {
"algorithm": "quantization",
"disable_saturation_fix": true,
"ignored_scopes": [
"{re}.*multilevel_propose_rois.*",
"{re}.*sample_proposals.*",
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6 changes: 3 additions & 3 deletions tests/tensorflow/sota_checkpoints_eval.json
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Expand Up @@ -343,13 +343,13 @@
"reverse_input_channels": true,
"batch": 16
},
"mask_rcnn_int8_w_sym_t_a_sym_t": {
"mask_rcnn_int8_w_sym_t_half_a_sym_t": {
"config": "examples/tensorflow/segmentation/configs/quantization/mask_rcnn_coco_int8.json",
"reference": "mask_rcnn_baseline",
"target": 37.12,
"resume": "mask_rcnn_int8_w_sym_t_a_sym_t",
"resume": "mask_rcnn_int8_w_sym_t_half_a_sym_t",
"metric_type": "mAP",
"model_description": "mask_rcnn_int8_w_sym_t_a_sym_t",
"model_description": "mask_rcnn_int8_w_sym_t_half_a_sym_t",
"compression_description": "INT8",
"batch_per_gpu": 4,
"reverse_input_channels": true
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