Merge pull request DhanushNehru#367 from NotIncorecc/master

Road Lane Detection

Author: DhanushNehru

README.md

@@ -118,6 +118,7 @@ More information on contributing and the general code of conduct for discussion
 | QR Code with logo                        | [QR code with Logo](https://github.com/DhanushNehru/Python-Scripts/tree/master/QR%20with%20Logo)                                                         | QR Code Customization Feature                                                                                                                                     |
 | Random Color Generator                   | [Random Color Generator](https://github.com/DhanushNehru/Python-Scripts/tree/master/Random%20Color%20Generator)                                          | A random color generator that will show you the color and values!                                                                                                 |
 | Remove Background                        | [Remove Background](https://github.com/DhanushNehru/Python-Scripts/tree/master/Remove%20Background)                                                      | Removes the background of images.                                                                                                                                 |
+| Road-Lane-Detection                      | [Road-Lane-Detection](https://github.com/NotIncorecc/Python-Scripts/tree/master/Road-Lane-Detection)                                                      | Detects the lanes of the road                                                            |
 | Rock Paper Scissor 1                     | [Rock Paper Scissor 1](https://github.com/DhanushNehru/Python-Scripts/tree/master/Rock%20Paper%20Scissor%201)                                            | A game of Rock Paper Scissors.                                                                                                                                    |
 | Rock Paper Scissor 2                     | [Rock Paper Scissor 2](https://github.com/DhanushNehru/Python-Scripts/tree/master/Rock%20Paper%20Scissor%202)                                            | A new version game of Rock Paper Scissors.                                                                                                                        |
 | Run Then Notify                          | [Run Then Notify](https://github.com/DhanushNehru/Python-Scripts/tree/master/Run%20Then%20Notify)                                                        | Runs a slow command and emails you when it completes execution.                                                                                                   |

Road-Lane-Detection/README.md

@@ -0,0 +1,18 @@
+# Road Lane Detection
+
+This project is a Python program that uses OpenCV to detect lanes on roads. Unlike other lane detection programs, this one dynamically calculates the mask based on the color of the road, making it more adaptable to different environments.
+
+## Features
+
+- **Dynamic Mask Calculation**: Adjusts the mask according to the road color.
+- **Lane Detection**: Identifies and highlights lanes on the road.
+
+## Requirements
+
+- Python 3.x
+- OpenCV
+
+## Acknowledgements
+
+- OpenCV documentation
+- Various online tutorials and resources

Road-Lane-Detection/dik2_1.py

@@ -0,0 +1,84 @@
+import cv2
+import numpy as np
+
+def canny_edge_detection(frame):
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    blur = cv2.GaussianBlur(gray, (5, 5), 0)
+    edges = cv2.Canny(blur, 50, 150)
+    return edges
+
+def detect_road_region(frame):
+    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+    
+    lower_gray = np.array([0, 0, 50])  # Lower bound for gray
+    upper_gray = np.array([180, 50, 200])  # Upper bound for gray
+
+    mask = cv2.inRange(hsv, lower_gray, upper_gray)
+
+    contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
+
+    if contours:
+        largest_contour = max(contours, key=cv2.contourArea)
+
+        epsilon = 0.02 * cv2.arcLength(largest_contour, True)
+        polygon = cv2.approxPolyDP(largest_contour, epsilon, True)
+
+        road_mask = np.zeros_like(mask)
+        if len(polygon) >= 3:  
+            cv2.fillPoly(road_mask, [polygon], 255)
+
+        return road_mask
+    return None
+
+def hough_transform(masked_edges):
+    lines = cv2.HoughLinesP(masked_edges, 2, np.pi / 180, 100, np.array([]), minLineLength=40, maxLineGap=5)
+    return lines
+
+def display_lines(frame, lines):
+    line_image = np.zeros_like(frame)
+    if lines is not None:
+        for line in lines:
+            x1, y1, x2, y2 = line.reshape(4)
+            cv2.line(line_image, (x1, y1), (x2, y2), (0, 255, 0), 10)
+    return line_image
+
+def combine_images(frame, line_image):
+    combined_image = cv2.addWeighted(frame, 0.8, line_image, 1, 1)
+    return combined_image
+
+def process_frame(frame):
+    edges = canny_edge_detection(frame)
+
+    road_mask = detect_road_region(frame)
+
+    if road_mask is not None:
+        masked_edges = cv2.bitwise_and(edges, edges, mask=road_mask)
+    else:
+        masked_edges = edges
+
+    lines = hough_transform(masked_edges)
+
+    line_image = display_lines(frame, lines)
+
+    result = combine_images(frame, line_image)
+
+    return result
+
+vds = ['lane5.mp4']#add more of your own videos here
+
+cap = cv2.VideoCapture('videos/'+vds[0])
+while(cap.isOpened()):
+    ret, frame = cap.read()
+    if not ret:
+        break
+
+    result = process_frame(frame)
+    cv2.imshow('Lane Detection', result)
+    road_cont_mask = detect_road_region(frame)
+    cv2.imshow('Lane Detection2', road_cont_mask)
+
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+cap.release()
+cv2.destroyAllWindows()

Road-Lane-Detection/requirements.txt

@@ -0,0 +1 @@
+opencv-python