Update README.md

README.md

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 license: mit
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+# Document Scanner :bookmark_tabs:
+[U-Net](https://arxiv.org/abs/1505.04597v1) Like Pretrained Model For Scene Document Detection ([pytorch](https://pytorch.org/), [Semantic Segmentation](https://paperswithcode.com/task/semantic-segmentation))
+
+#### **Quick Links**
+- [Dependencies](#Dependencies)
+- [Usage](#Usage)
+- [Examples](#Examples)
+
+## Dependencies
+- Install Dependencies `$ pip install -r requirements.txt`
+- Download model weights [Here](), place it in `Structure/`
+
+## Usage:
+```python
+  scanner = Scanner("Structure/Scanner-Detector.pth", config_)
+```
+Load model.
+
+```python
+  org = cv2.imread(fname)
+  org_gray = cv2.cvtColor(org, cv2.COLOR_RGB2GRAY)
+  org_resize = cv2.resize(org_gray, (256, 256), interpolation = cv2.INTER_AREA)
+```
+Read image in gray scale and resize it to 256*256.
+
+```python
+  mask = scanner.ScanView(org_resize)
+```
+Detect document area.
+
+```python
+  paper, approx = ExtractPaper(org_gray, mask)
+  org = DrawBox(org, approx)
+```
+Extract document and draw bounding box on original image.
+
+```python
+  paper = EnhacePaper(paper)
+```
+Enhance extracted document.
+
+## Examples
+
+![](Images/1704353164820_det.jpg)
+![](Images/1704387464271_det.jpg)
+![](Images/1704640185357_det.jpg)
+![](Images/1704721611426_det.jpg)
+![](Images/1705745193148_det.jpg)
+
+
+### 🛡️ License <a name="license"></a>
+Project is distributed under [MIT License](https://github.com/Saeed-Biabani/Document-Scanner/blob/main/LICENSE)