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b/Image_Processing/src/get_perspective/script.py @@ -0,0 +1,82 @@ +import cv2 +import numpy as np +import argparse + +# global vars +arr = [] +count = 0 + +# setup argparse +parser = argparse.ArgumentParser() +parser.add_argument("-p", "--path", help = "path to image") +args = vars(parser.parse_args()) + +# transform image to perspective form using warpPerspective +def transform(img, arr): + (tl, tr, br, bl) = arr + + # find the maximum width of selected object + widthA = np.sqrt(((br[0] - bl[0]) ** 2) + ((br[1] - bl[1]) ** 2)) + widthB = np.sqrt(((tr[0] - tl[0]) ** 2) + ((tr[1] - tl[1]) ** 2)) + w = max(int(widthA), int(widthB)) + + # find the maximum height of selected object + heightA = np.sqrt(((tr[0] - br[0]) ** 2) + ((tr[1] - br[1]) ** 2)) + heightB = np.sqrt(((tl[0] - bl[0]) ** 2) + ((tl[1] - bl[1]) ** 2)) + h = max(int(heightA), int(heightB)) + + # Create source and destination points + inp_pts = np.float32(arr) + op_pts = np.float32([[0,0],[w-1,0],[w-1,h-1],[0,h-1]]) + + # Create Perspective Transform and perform warp Perspective + M = cv2.getPerspectiveTransform(inp_pts,op_pts) + out = cv2.warpPerspective(img, M, (w, h)) + + return out + +# read image +img = cv2.imread(args["path"]) + +# resize image +width = 500 +height = int((img.shape[0] * 500)/(img.shape[1])) +dim = (width, height) +img = cv2.resize(img, dim, interpolation = cv2.INTER_AREA) + +cv2.imshow('image', img) + +# helper function to append coordinates +def points(x,y): + if len(arr) <= 4: + arr.append((x,y)) + return len(arr) + +# helper function to draw connector lines +def draw(count, img): + if(count == 2): + cv2.line(img, arr[0], arr[1], (255,255,255), 2) + if(count == 3): + cv2.line(img, arr[1], arr[2], (255,255,255), 2) + if(count == 4): + cv2.line(img, arr[2], arr[3], (255,255,255), 2) + cv2.line(img, arr[3], arr[0], (255,255,255), 2) + +# mouseclick events +def onClick(event, x, y, flags, param): + if event == cv2.EVENT_LBUTTONDOWN: + count = points(x,y) + if count <= 4: + cv2.circle(img, (x,y), 2, (255,255,0), 10) + draw(count, img) + cv2.imshow('image', img) + +cv2.setMouseCallback('image', onClick) +cv2.waitKey(0) + +# transform image with mentioned coordinates +out = transform(img, arr) + +cv2.imshow('final', out) +cv2.waitKey(0) +cv2.destroyAllWindows() From 0cf498e1c790462bdad77eaa591c0dc02b857e53 Mon Sep 17 00:00:00 2001 From: Eesha Shetty Date: Thu, 1 Oct 2020 15:23:22 +0530 Subject: [PATCH 2/5] Create README.md --- Image_Processing/src/get_perspective/README.md | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 Image_Processing/src/get_perspective/README.md diff --git a/Image_Processing/src/get_perspective/README.md b/Image_Processing/src/get_perspective/README.md new file mode 100644 index 00000000..1534d905 --- /dev/null +++ b/Image_Processing/src/get_perspective/README.md @@ -0,0 +1,8 @@ +## Usage +`python3 script.py --path image.jpg` + +- It opens the image for you need to select coordinates in clockwise manner + (top left -> top right -> bottom right -> bottom left).

+

+- on pressing enter, it transforms the document.

+ From ee8b55d899e9f72cbeb529322c9807a67d11da55 Mon Sep 17 00:00:00 2001 From: Eesha Shetty Date: Thu, 1 Oct 2020 15:24:03 +0530 Subject: [PATCH 3/5] Update README.md --- Image_Processing/src/get_perspective/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Image_Processing/src/get_perspective/README.md b/Image_Processing/src/get_perspective/README.md index 1534d905..61fb1e99 100644 --- a/Image_Processing/src/get_perspective/README.md +++ b/Image_Processing/src/get_perspective/README.md @@ -1,3 +1,5 @@ +# Perspective Transform +using OpenCV methods ## Usage `python3 script.py --path image.jpg` From 6f939a0f7e78493b95beec30864a3bf2045d2902 Mon Sep 17 00:00:00 2001 From: Eesha Shetty Date: Thu, 1 Oct 2020 21:51:28 +0530 Subject: [PATCH 4/5] added dimensions --- Image_Processing/src/get_perspective/script.py | 1 + 1 file changed, 1 insertion(+) diff --git a/Image_Processing/src/get_perspective/script.py b/Image_Processing/src/get_perspective/script.py index ed87c14a..77886b40 100644 --- a/Image_Processing/src/get_perspective/script.py +++ b/Image_Processing/src/get_perspective/script.py @@ -25,6 +25,7 @@ def transform(img, arr): heightB = np.sqrt(((tl[0] - bl[0]) ** 2) + ((tl[1] - bl[1]) ** 2)) h = max(int(heightA), int(heightB)) + print("New Image Dimensions: \nWidth = {}\nHeight = {}".format(w,h)) # Create source and destination points inp_pts = np.float32(arr) op_pts = np.float32([[0,0],[w-1,0],[w-1,h-1],[0,h-1]]) From c3236f3b685871e7eac92c834498b95ba5dff48c Mon Sep 17 00:00:00 2001 From: Eesha Shetty Date: Thu, 1 Oct 2020 21:54:57 +0530 Subject: [PATCH 5/5] Update README.md --- Image_Processing/src/get_perspective/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Image_Processing/src/get_perspective/README.md b/Image_Processing/src/get_perspective/README.md index 61fb1e99..a3461ad3 100644 --- a/Image_Processing/src/get_perspective/README.md +++ b/Image_Processing/src/get_perspective/README.md @@ -1,5 +1,7 @@ # Perspective Transform using OpenCV methods +## How It Works +On selecting dimensions for a quadrilateral section, the code finds the maximum height and width of that selection and warps the selected area into a rectangle of dimensions `maxHeight * maxWidth` ## Usage `python3 script.py --path image.jpg`