File size: 3,294 Bytes
e5a65c7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 |
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 #x1,y1,status (-1:not exist. 0/1: covered or not)
for x in data['shapes']:
if x['shape_type']=='polygon':
polygon = x['points']
elif x['shape_type']=='point':
_,index,hidden = x['label'].split('-')
index = int(index.split('_')[-1])
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 #x1 y1 x2 y2
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)
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
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]))
#diff
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
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)
"""
|