Refine TF OOB example readme
@@ -4,16 +4,15 @@ Step-by-Step
This document is used to list steps of reproducing Intel Optimized TensorFlow OOB models tuning zoo result.
> **Note**:
-> Most of those models are both supported in Intel optimized TF 1.15.x and Intel optimized TF 2.x. We use 1.15.2 as an example.
+> Most of those models are both supported in Intel optimized TF 1.15.x and Intel optimized TF 2.x. We use 2.2.0 as an example.
# Prerequisite
## 1. Installation
Recommend python 3.6 or higher version.
- ```Shell
- pip install -r requirements.txt
-
+ ```bash
+ pip install intel-tensorflow==2.2.0
```
## 2. Prepare Dataset
@@ -63,9 +62,6 @@ List models names can get with open_model_zoo:
| faster_rcnn_resnet101_ava_v2.1 | http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_ava_v2.1_2018_04_30.tar.gz |
| faster_rcnn_resnet101_kitti | http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_kitti_2018_01_28.tar.gz |
| faster_rcnn_resnet101_lowproposals_coco | http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_lowproposals_coco_2018_01_28.tar.gz |
-| faster_rcnn_resnet101_ava_v2.1 | http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_ava_v2.1_2018_04_30.tar.gz |
-| faster_rcnn_resnet101_kitti | http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_kitti_2018_01_28.tar.gz |
-| faster_rcnn_resnet101_lowproposals_coco | http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_lowproposals_coco_2018_01_28.tar.gz |
| image-retrieval-0001 | https://download.01.org/opencv/openvino_training_extensions/models/image_retrieval/image-retrieval-0001.tar.gz |
| SSD ResNet50 V1 FPN 640x640 (RetinaNet50) | http://download.tensorflow.org/models/object_detection/tf2/20200711/ssd_resnet50_v1_fpn_640x640_coco17_tpu-8.tar.gz |
| ssd_inception_v2_coco | http://download.tensorflow.org/models/object_detection/ssd_inception_v2_coco_2018_01_28.tar.gz |
