| import json
|
| import numpy as np
|
| import cv2
|
| from PIL import Image, ImageDraw
|
|
|
|
|
| def readjson(filename):
|
| with open(filename, 'r', encoding='utf-8') as f:
|
| data = json.load(f)
|
| polygon=None
|
| kps = np.ones((24,3))*-1
|
| for x in data['shapes']:
|
| if x['shape_type']=='polygon':
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| polygon = x['points']
|
| elif x['shape_type']=='point':
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| _,index,hidden = x['label'].split('-')
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| index = int(index.split('_')[-1])
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| hidden = int(hidden[-1]=='1')
|
| kps[index] = np.array([x['points'][0][0],x['points'][0][1],hidden])
|
|
|
| poly = np.array(polygon)
|
| polymax = np.max(poly,axis=0).tolist()
|
| polymin = np.min(poly,axis=0).tolist()
|
| bbox = polymin+polymax
|
| return polygon,kps,bbox
|
|
|
| def polygon2seg(image,polygon):
|
| for i in range(len(polygon)):
|
| polygon[i] = tuple(polygon[i])
|
| mask = Image.new('L', (image.width, image.height), 0)
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| ImageDraw.Draw(mask).polygon(polygon, outline=0, fill=1)
|
| return np.array(mask)
|
|
|
| def show_seg(image,mask):
|
| image = np.array(image).copy()
|
| mask = np.array(mask)
|
| mask = mask[:,:,np.newaxis]
|
| masked_image = image*mask
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| Image.fromarray(masked_image)
|
| masked_image = Image.fromarray(masked_image)
|
| masked_image.show()
|
| return
|
|
|
| def show_kps(image,kps):
|
| image = np.array(image).copy()
|
| for x,y,h in kps:
|
| y,x,h = int(y),int(x),int(h)
|
| if h==-1:
|
| continue
|
| point_size=2
|
| if h==0:
|
| point_color=(0,0,255)
|
| else:
|
| point_color=(0,255,0)
|
| cv2.circle(image,(x,y),point_size,point_color,thickness=4)
|
| pil_image = Image.fromarray(image)
|
| pil_image.show()
|
| return
|
|
|
| def reshape_image_and_anno(image,mask,kps,bbox,size=512):
|
| def move_kps(kps,move=None,ratio=None):
|
| if move is not None:
|
| for i in range(len(kps)):
|
| if kps[i][2]!=-1:
|
| kps[i][:2] += move
|
| elif ratio is not None:
|
| for i in range(len(kps)):
|
| if kps[i][0]!=-1:
|
| kps[i][:2] *= ratio
|
| return kps
|
| image = np.array(image)
|
| mask = np.array(mask)
|
| y1,x1,y2,x2 = bbox
|
| image = image[x1:x2, y1:y2]
|
| mask = mask[x1:x2,y1:y2]
|
| kps = move_kps(kps,move=-np.array([y1,x1]))
|
|
|
|
|
| dx = abs(x2-x1)
|
| dy = abs(y2-y1)
|
| dif = abs(dx-dy)
|
| if dx>dy:
|
| image = cv2.copyMakeBorder(image, 0, 0, int(dif//2), int(dif-dif//2), cv2.BORDER_CONSTANT, value=(255,255,255))
|
| mask = cv2.copyMakeBorder(mask, 0, 0, int(dif//2), int(dif-dif//2), cv2.BORDER_CONSTANT, value=(255,255,255))
|
| kps = move_kps(kps,move=np.array([int(dif//2),0]))
|
| else:
|
| image = cv2.copyMakeBorder(image, int(dif//2), int(dif-dif//2), 0, 0, cv2.BORDER_CONSTANT, value=(255,255,255))
|
| mask = cv2.copyMakeBorder(mask, int(dif//2), int(dif-dif//2), 0, 0, cv2.BORDER_CONSTANT, value=(255,255,255))
|
| kps = move_kps(kps,move=np.array([0,int(dif//2)]))
|
|
|
|
|
| ratio = size/max(dx,dy)
|
| image = cv2.resize(image,(size,size))
|
| mask = cv2.resize(mask,(size,size))
|
| kps = move_kps(kps,ratio=ratio)
|
| return image,mask,kps
|
|
|
| """
|
| def __name__=='__main__':
|
| image = Image.open("raw_image.jpeg").convert('RGB')
|
| polygon,kps,bbox = readjson("annotation.json")
|
| mask = polygon2seg(image,polygon)
|
| # show_seg(image,mask)
|
| # show_kps(image,kps)
|
|
|
| size=512
|
| nimage,nmask,nkps = reshape_image_and_anno(image,mask,kps,size)
|
| show_seg(nimage,nmask)
|
| show_kps(nimage,nkps)
|
|
|
|
|
| """
|
|
|
