fixes

README.md

@@ -2,59 +2,70 @@
 
 Link to find ResNet_V2_101 model:
 https://www.tensorflow.org/lite/guide/hosted_models
+
 Direct link to download this model:
 https://storage.googleapis.com/download.tensorflow.org/models/tflite_11_05_08/resnet_v2_101.tgz
 
 To validate TensorFlow model on one image run:
+
 ```bash
 python3 demo_classification.py --engine tf --graph resnet_v2_101_299_frozen.pb --image example.jpeg
 ```
 
 To validate TensorFlow model on ImageNet dataset run:
+
 ```bash
 python3 evaluate.py --engine tf --graph resnet_v2_101_299_frozen.pb --dataset ILSVRC2012_img_val
 ```
 
 # OpenVINO sample
 
 To initialise OpenVINO environment variables use:
+
 ``bash
 source /opt/intel/openvino/bin/setupvars.sh
 ``
 
-Run the ```convert.py``` script before converting the model, it creates resnet_v2_101_299_opt.pb file in current directory:
+Run the ```convert.py``` script before converting the model, it creates ```resnet_v2_101_299_opt.pb``` file in current directory:
+
 ``bash
 python3 convert.py --graph resnet_v2_101_299_frozen.pb
 ``
 
 To convert TensorFlow model to Intermediate Representation:
+
 ``bash
 cd folder/for/IR/model
 python3 ~/openvino/model-optimizer/mo_tf.py --input_shape "[1,299,299,3]" --input_model resnet_v2_101_299_opt.pb 
 ``
 
 To validate OpenVINO model on one image run:
+
 ``bash
 python3 demo_classification.py --engine opvn --xml resnet_v2_101_299_opt.xml --image example.jpeg 
 ``
 
 To validate OpenVINO model on ImageNet dataset run:
+
 ``bash
 python3 evaluate.py --engine opvn --xml resnet_v2_101_299_opt.xml --dataset ILSVRC2012_img_val
 ``
 
 To quantizes the model to int8 model run:
+
 ``bash
 python3 calibration.py --xml resnet_v2_101_299_opt.xml --data ILSVRC2012_img_val --annotation ILSVRC2012_img_val/val.txt
 ``
 This script created ```/model/optimised``` folder in current folder with quantized model.
 
 To validate int8 model on one image run:
+
 ``bash
 python3 demo_classification.py --engine opvn --xml /model/optimized/resnet_v2_101_299_opt.xml --image example.jpeg 
 ``
 
 To validate int8 model on ImageNet dataset run:
+
 ``bash
 python3 evaluate.py --engine opvn --xml /model/optimized/resnet_v2_101_299_opt.xml --dataset ILSVRC2012_img_val
 ``