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rendering.py
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rendering.py
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# *****************************************************************************
# * Author: Miguel Magalhaes
# * Email: miguel@magalhaes.pro
# *****************************************************************************
# * Rendering
# *****************************************************************************
import cv2 as cv
import numpy as np
import math
import uuid
from PIL import ImageColor
from config import RENDER
class Rendering:
def __init__(self, markerImg, coords2pixels):
self.coords2pixels = coords2pixels
self.K = np.array([[1642, 0, 1176], [0, 1642, 714], [0, 0, 1]])
self.H = None
self.geojson = None
self.h, self.w, _ = markerImg.shape
self.frameImg = None
self.highlighted = None
def update(self, H, frameImg):
self.H = H
self.frameImg = frameImg
def drawBorder(self):
pts = [[0,0],[self.w,0],[self.w,self.h],[0,self.h]]
pts = cv.perspectiveTransform(np.float32([pts]), self.H)[0]
pts = list(map(tuple, pts))
cv.line(self.frameImg, pts[0], pts[1], (0,255,0), 3, cv.LINE_AA)
cv.line(self.frameImg, pts[1], pts[2], (0,255,0), 3, cv.LINE_AA)
cv.line(self.frameImg, pts[2], pts[3], (0,255,0), 3, cv.LINE_AA)
cv.line(self.frameImg, pts[3], pts[0], (0,255,0), 3, cv.LINE_AA)
def setGeoJSON(self, features):
self.geojson = GeoJSON(features, self.coords2pixels)
def renderGeoJSON(self):
if self.geojson is not None:
overlayImg = self.frameImg.copy()
for f in self.geojson.features:
props = f['properties']
geo = f['geometry']
color = ImageColor.getcolor(props['fill'], 'RGB') if 'fill' in props else None
# print(geo,props)
if geo['type'] == 'Point':
color = color or RENDER.POINT_COLOR
pts = np.float32([[geo['coordinates']]])
pts = cv.perspectiveTransform(pts, self.H)[0][0]
pts = tuple(pts)
cv.circle(overlayImg, pts, RENDER.POINT_RADIUS, color, -1, cv.LINE_AA)
if self.highlighted == f['uuid']:
cv.circle(self.frameImg, pts, RENDER.POINT_RADIUS, color, -1, cv.LINE_AA)
cv.circle(self.frameImg, pts, RENDER.POINT_RADIUS + 13, color, 3, cv.LINE_AA)
elif geo['type'] == 'MultiPoint':
color = color or RENDER.LINE_COLOR
for pts in geo['coordinates']:
pts = np.float32([[pts]])
pts = cv.perspectiveTransform(pts, self.H)[0][0]
pts = tuple(pts)
cv.circle(overlayImg, pts, RENDER.POINT_RADIUS, color, -1, cv.LINE_AA)
if self.highlighted == f['uuid']:
cv.circle(self.frameImg, pts, RENDER.POINT_RADIUS, color, -1, cv.LINE_AA)
cv.circle(self.frameImg, pts, RENDER.POINT_RADIUS + 13, color, 3, cv.LINE_AA)
elif geo['type'] == 'LineString':
color = color or RENDER.LINE_COLOR
pts = np.float32([geo['coordinates']])
pts = cv.perspectiveTransform(pts, self.H)[0]
cv.polylines(overlayImg, np.int32([pts]), False, color, RENDER.LINE_THICKNESS, cv.LINE_AA)
if self.highlighted == f['uuid']:
cv.polylines(self.frameImg, np.int32([pts]), False, color, RENDER.LINE_THICKNESS, cv.LINE_AA)
elif geo['type'] == 'MultiLineString':
color = color or RENDER.LINE_COLOR
for pts in geo['coordinates']:
pts = np.float32([pts])
pts = cv.perspectiveTransform(pts, self.H)[0]
cv.polylines(overlayImg, np.int32([pts]), False, color, RENDER.LINE_THICKNESS, cv.LINE_AA)
if self.highlighted == f['uuid']:
cv.polylines(self.frameImg, np.int32([pts]), False, color, RENDER.LINE_THICKNESS, cv.LINE_AA)
elif geo['type'] == 'Polygon':
pts = np.float32([geo['coordinates'][0]])
pts = cv.perspectiveTransform(pts, self.H)[0]
if color is None:
cv.polylines(overlayImg, np.int32([pts]), False, RENDER.POLYGON_BORDER_COLOR, RENDER.LINE_THICKNESS, cv.LINE_AA)
color = RENDER.POLYGON_COLOR
cv.fillPoly(overlayImg, np.int32([pts]), color, cv.LINE_AA)
if self.highlighted == f['uuid']:
cv.fillPoly(self.frameImg, np.int32([pts]), color, cv.LINE_AA)
elif geo['type'] == 'MultiPolygon':
color = color or RENDER.POLYGON_COLOR
for pts in geo['coordinates']:
pts = np.float32(pts)
pts = cv.perspectiveTransform(pts, self.H)[0]
if color == RENDER.POLYGON_COLOR:
cv.polylines(overlayImg, np.int32([pts]), False, RENDER.POLYGON_BORDER_COLOR, RENDER.LINE_THICKNESS, cv.LINE_AA)
cv.fillPoly(overlayImg, np.int32([pts]), color, cv.LINE_AA)
if self.highlighted == f['uuid']:
cv.fillPoly(self.frameImg, np.int32([pts]), color, cv.LINE_AA)
cv.addWeighted(overlayImg, RENDER.OPACITY, self.frameImg, 1 - RENDER.OPACITY, 0, self.frameImg)
def getClickedFeature(self, pos):
feature = None
if self.H is not None and self.geojson is not None:
pos = np.float32([[list(pos)]])
pos = cv.perspectiveTransform(pos, np.linalg.inv(self.H))[0][0]
pos = tuple(pos)
for f in self.geojson.features:
geo = f['geometry']
if geo['type'] == 'Point':
ax, ay = tuple(geo['coordinates'])
bx, by = pos
xDiff = ax - bx
yDiff = ay - by
if math.sqrt((xDiff * xDiff) + (yDiff * yDiff)) < RENDER.POINT_RADIUS:
feature = f
elif geo['type'] == 'Polygon':
if cv.pointPolygonTest(np.int32(geo['coordinates'][0]), pos, False) == 1:
feature = f
elif geo['type'] == 'MultiPolygon':
for pts in geo['coordinates']:
if cv.pointPolygonTest(np.int32(pts[0]), pos, False) == 1:
feature = f
return feature
def setHighlighted(self, feature_uuid):
self.highlighted = feature_uuid
class GeoJSON:
def __init__(self, features, coords2pixels):
self.features = features
order = ['Point','MultiPoint','LineString','MultiLineString','Polygon','MultiPolygon']
self.features.sort(key=lambda x: order.index(x['geometry']['type']), reverse=True)
src = np.array(coords2pixels['src'], np.float32)
dst = np.array(coords2pixels['dst'], np.float32)
M = cv.getAffineTransform(src,dst)
M = np.append(M, [[0,0,1]], axis=0)
for f in self.features:
geoType = f['geometry']['type']
f['uuid'] = str(uuid.uuid1())
if geoType == 'Point':
f['geometry']['coordinates'] = self.coords2pixels([f['geometry']['coordinates']], M)[0]
elif geoType == 'LineString':
f['geometry']['coordinates'] = self.coords2pixels(f['geometry']['coordinates'], M)
elif geoType == 'Polygon':
for i, coords in enumerate(f['geometry']['coordinates']):
f['geometry']['coordinates'][i] = self.coords2pixels(coords, M)
elif geoType == 'MultiPolygon':
for i, coordsList in enumerate(f['geometry']['coordinates']):
for j, coords in enumerate(coordsList):
f['geometry']['coordinates'][i][j] = self.coords2pixels(coords, M)
def coords2pixels(self, coords, M):
# switch lat long and perspectiveTransform
coords = np.transpose(coords)
coords = [coords[1], coords[0]]
coords = np.transpose(coords)
coords = cv.perspectiveTransform(np.float32([coords]), M)[0]
return coords.tolist()