Fix YOLACT documentation (#5990)

* Fix YOLACT documentation

* Update Convert_YOLACT.md

docs/MO_DG/prepare_model/convert_model/pytorch_specific/Convert_YOLACT.md

@@ -136,7 +136,9 @@ git clone https://github.com/dbolya/yolact
 git checkout 57b8f2d95e62e2e649b382f516ab41f949b57239
 ```
 
-**Step 2**. Download a pre-trained model, for example `yolact_base_54_800000.pth`.
+3. Set up the environment as described in `README.md`.
+
+**Step 2**. Download a pre-trained model from the list attached in the `Evaluation` section of `README.md` document, for example `yolact_base_54_800000.pth`.
 
 **Step 3**. Export the model to ONNX* format.
 
@@ -152,10 +154,11 @@ python3 eval.py \
     --trained_model=/path/to/yolact_base_54_800000.pth \
     --score_threshold=0.3 \
     --top_k=10 \
-    --image=/path/to/image.jpg
+    --image=/path/to/image.jpg \
+    --cuda=False
 ```
 
-3. You should get `yolact.onnx` file.
+3. The script may fail, but you should get `yolact.onnx` file.
 
 **Step 4**. Convert the model to the IR: