tools/Validators/Printer.py

import numpy as np
import cv2
import random

class Printer:
    #print the labels and show the images
    #pathRootImgs = path to the root directory containing the images
    #dictImgsLabels = dictionary relating the path of each image and the annotations
    def print(self,pathRootImgs, dictImgsLabels, subset_filenames):

        for key in sorted(dictImgsLabels):
            if subset_filenames and key not in subset_filenames:
                continue
            path = pathRootImgs + '/' + key
            masks = dictImgsLabels[key].masks
            occupied = dictImgsLabels[key].occupiedRRs
            empty = dictImgsLabels[key].emptyRRs
            unknown = dictImgsLabels[key].unknownRRs
            print(path)
            print('\tMasks: ', len(masks), ' Parking Spaces: ', len(occupied) + len(empty) + len(unknown),
            ' Occupied: ', len(occupied), ' Empty: ', len(empty), ' Unknown: ', len(unknown))
            img = cv2.imread(path)
            original = img.copy()

            self._printBorders(img,  dictImgsLabels[key].annotationsRectangleP1,  dictImgsLabels[key].annotationsRectangleP2)
            self._printPoligons(img, masks)
            ret, mosaicOccupied, mosaicEmpty, mosaicUnknown = self._printParkingSpaces(original, occupied, empty, unknown)

            cv2.imshow('Image',img)
            cv2.imshow('Empty',mosaicEmpty)
            cv2.imshow('Occupied',mosaicOccupied)
            cv2.imshow('Unknown',mosaicUnknown)
            k = cv2.waitKey(0)
            if k == ord('q'): # wait for 's' key to save and exit
                break
            self._printBorders(ret,  dictImgsLabels[key].annotationsRectangleP1,  dictImgsLabels[key].annotationsRectangleP2)
            cv2.imshow('Image',ret)
            k = cv2.waitKey(0)
            if k == ord('q'): # wait for 's' key to save and exit
                break


    def _printBorders(self, img, annotationsRectangleP1, annotationsRectangleP2):
        cv2.rectangle(img, annotationsRectangleP1, annotationsRectangleP2, (180, 105, 255), 4)

    def _printPoligons(self, img, poligonsList):
        imgMask = img.copy()

        for polys in poligonsList:#one instance may have multiple polygons demarcating it (due of occlusions)
            for p in polys:
                pts = np.array(p, np.int32)
                pts = pts.reshape((1,-1,2))

                cv2.drawContours(img, pts, -1, (255,0,0), 2)
                cv2.drawContours(imgMask, pts, -1, (255,0,0), 2)
                cv2.drawContours(imgMask, pts, -1, (random.randint(127, 255),
                                                    random.randint(127, 255),
                                                    random.randint(127, 255)), -1)

        cv2.addWeighted(img, 0.5, imgMask, 0.5, 0.0,img)
        return

    def _printParkingSpaces(self, img, occupiedRRs, emptyRRs, unknownRRs = []):
        ret = img.copy()
        occupiedImgs = list()
        emptyImgs = list()
        unknownImgs = list()
        imgsWidth = 96
        imgsHeight = 96
        for rro in occupiedRRs:
            occupiedImgs.append(self.crop_minAreaRect(img, ((rro[0], rro[1]),(rro[2], rro[3]), rro[4]), imgsWidth))
            box = cv2.boxPoints(((rro[0], rro[1]),(rro[2], rro[3]), rro[4]))
            box = np.int0(box)
            cv2.drawContours(ret, [box], -1, (0,0,255), 2)
        for rre in emptyRRs:
            emptyImgs.append(self.crop_minAreaRect(img, ((rre[0], rre[1]),(rre[2], rre[3]), rre[4]), imgsWidth))
            box = cv2.boxPoints(((rre[0], rre[1]),(rre[2], rre[3]), rre[4]))
            box = np.int0(box)
            cv2.drawContours(ret, [box], -1, (0,255,0), 2)
        for rru in unknownRRs:
            unknownImgs.append(self.crop_minAreaRect(img, ((rru[0], rru[1]),(rru[2], rru[3]), rru[4]), imgsWidth))
            box = cv2.boxPoints(((rru[0], rru[1]),(rru[2], rru[3]), rru[4]))
            box = np.int0(box)
            cv2.drawContours(ret, [box], -1, (255,0,0), 2)

        mosaicOccupied = self._drawMosaic(occupiedImgs, imgsWidth, imgsHeight, mosaicWidth = 576)
        mosaicEmpty = self._drawMosaic(emptyImgs, imgsWidth, imgsHeight, mosaicWidth = 576)
        mosaicUnknown = self._drawMosaic(unknownImgs, imgsWidth, imgsHeight, mosaicWidth = 576)

        return ret, mosaicOccupied, mosaicEmpty, mosaicUnknown

    def _drawMosaic(self, images, imgsWidth, imgsHeight ,mosaicWidth = 576):
        numImgs = len(images)
        imgsByLine = mosaicWidth/imgsWidth
        numCols = numImgs/imgsByLine
        if numImgs % imgsByLine != 0:
            numCols = numCols + 1;
        if numCols == 0:
            numCols = 1
        mosaic = np.zeros((int(numCols*imgsHeight), mosaicWidth,3), np.uint8)
        y_offset = 0
        x_offset = 0;
        for img in images:
            mosaic[y_offset:y_offset+img.shape[0], x_offset:x_offset+img.shape[1]] = img
            x_offset = x_offset + imgsWidth
            if mosaicWidth - x_offset < imgsWidth:
                x_offset = 0
                y_offset = y_offset + imgsHeight

        return mosaic

    def crop_minAreaRect(self, img, rr, size):
        box = cv2.boxPoints(rr)
        box = np.int0(box)

        width = int(rr[1][0])
        height = int(rr[1][1])

        srcPts = box.astype("float32")

        dstPts = np.array([[0, height-1],
                            [0, 0],
                            [width-1, 0],
                            [width-1, height-1]], dtype="float32")

        M = cv2.getPerspectiveTransform(srcPts, dstPts)
        warped = cv2.warpPerspective(img, M, (width, height))

        mx = max(width,height)
        result = np.zeros((mx,mx,3),np.uint8)
        cx,cy = (mx - width)//2,(mx - height)//2
        result[cy:warped.shape[0]+cy,cx:cx+warped.shape[1]] = warped
        result = cv2.resize(result, (size,size), interpolation = cv2.INTER_AREA)

        return result