From 50a9ea0b144983ad1a252699b3976d0aa177f328 Mon Sep 17 00:00:00 2001
From: Pavel Esir <pavel.esir@intel.com>
Date: Wed, 30 Jun 2021 15:22:31 +0300
Subject: [PATCH] [doc] Corrections for Yolo V1 and V2 conversion (#6283)

* added corrections for Yolo V1 and V2

* changed order of conversion commands : v1 goes first general last

* aligned line endings

* added commit hash
---
 .../tf_specific/Convert_YOLO_From_Tensorflow.md | 17 +++++++++++++++--
 1 file changed, 15 insertions(+), 2 deletions(-)

diff --git a/docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md b/docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
index eb2a1611e02..60674b1c768 100644
--- a/docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
+++ b/docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
@@ -174,11 +174,24 @@ cd darkflow
 #### <a name="yolov1-v2-to-tf"></a>Convert DarkNet\* YOLOv1 or YOLOv2 Model to TensorFlow\*
 
 To convert YOLOv1 or YOLOv2 model to TensorFlow, go to the root directory of the cloned DarkFlow repository and run the following command:<br>
+For Yolo V1:
 ```sh
-python3 ./flow --model <path_to_model>/<model_name>.cfg --load <path_to_model>/<model_name>.weights --savepb
+python3 flow --model yolov1.cfg --load yolov1.weights --savepb
 ```
 
-If the model was successfully converted, you can find the `<model_name>.meta` and `<model_name>.pb` files
+For Yolo V2 with VOC dataset `--labels` argument should be specified and additional changes in the original exporting script are required. 
+In the file [https://github.com/thtrieu/darkflow/blob/b187c65/darkflow/utils/loader.py#L121](https://github.com/thtrieu/darkflow/blob/b187c65630f9aa1bb8b809c33ec67c8cc5d60124/darkflow/utils/loader.py#L121) 
+change line 121 from `self.offset = 16` to `self.offset = 20`. Then run:
+```sh
+python3 flow --model yolov2-voc.cfg --load yolov2-voc.weights --labels voc-labels.txt --savepb
+```
+voc-labels can be found by the following link https://raw.githubusercontent.com/szaza/android-yolo-v2/master/assets/tiny-yolo-voc-labels.txt
+
+General conversion command is:
+```sh
+python3 flow --model <path_to_model>/<model_name>.cfg --load <path_to_model>/<model_name>.weights --labels <path_to_dataset_labels_file> --savepb
+```
+Where argument `--labels` for Yolo V1 can be skipped. If the model was successfully converted, you can find the `<model_name>.meta` and `<model_name>.pb` files
 in `built_graph`  subdirectory of the cloned DarkFlow repository.
 
 File `<model_name>.pb` is a TensorFlow representation of the YOLO model.