| 64 | self.half = half |
| 65 | |
| 66 | def __call__(self, img): |
| 67 | ## transform |
| 68 | scale_diff_h = (np.random.rand()*2-1)*self.scale_aug |
| 69 | scale_diff_w = (np.random.rand()*2-1)*self.scale_aug |
| 70 | crop_aug_h = self.crop_size*(1+scale_diff_h) |
| 71 | crop_aug_w = self.crop_size*(1+scale_diff_w) |
| 72 | |
| 73 | trans_diff_h = (np.random.rand()*2-1)*self.trans_aug |
| 74 | trans_diff_w = (np.random.rand()*2-1)*self.trans_aug |
| 75 | |
| 76 | h, w, _ = img.shape |
| 77 | ct_x = (w/2+self.crop_center_x_offset)*(1+trans_diff_w) |
| 78 | ct_y = (h/2+self.crop_center_y_offset)*(1+trans_diff_h) |
| 79 | |
| 80 | if ct_x < crop_aug_w/2: |
| 81 | crop_aug_w = ct_x*2 - 0.5 |
| 82 | if ct_y < crop_aug_h/2: |
| 83 | crop_aug_h = ct_y*2 - 0.5 |
| 84 | if ct_x + crop_aug_w/2 >= w: |
| 85 | crop_aug_w = (w-ct_x)*2 - 0.5 |
| 86 | if ct_y + crop_aug_h/2 >= h: |
| 87 | crop_aug_h = (h-ct_y)*2 - 0.5 |
| 88 | |
| 89 | #rect = (ct_x-crop_aug_w/2, ct_y-crop_aug_h/2, ct_x+crop_aug_w/2, ct_y+crop_aug_h/2) |
| 90 | #img = img.resize((self.final_size, self.final_size), box=rect) |
| 91 | t = int(np.ceil(ct_y-crop_aug_h/2)) |
| 92 | #d = int(np.ceil(ct_y+crop_aug_h/2)) |
| 93 | l = int(np.ceil(ct_x-crop_aug_w/2)) |
| 94 | #r = int(np.ceil(ct_x+crop_aug_w/2)) |
| 95 | img = img[t:int(t+crop_aug_h),l:int(l+crop_aug_w),:] |
| 96 | |
| 97 | img = cv2.resize(img, (self.final_size, self.final_size)) |
| 98 | |
| 99 | if self.half == 1: |
| 100 | |
| 101 | img[:self.final_size // 2, :] = 0 |
| 102 | |
| 103 | elif self.half == -1: |
| 104 | |
| 105 | img[self.final_size // 2 :, :] = 0 |
| 106 | |
| 107 | #self.mask_aug = 1 |
| 108 | if self.mask_aug > 0: |
| 109 | |
| 110 | seed = np.random.rand() |
| 111 | aug = self.final_size // 2 * min(np.random.rand() + 0.1, 1) |
| 112 | if seed < self.mask_aug / 2: |
| 113 | img[:int(self.final_size//2-aug), :] = 0 |
| 114 | elif seed < self.mask_aug: |
| 115 | img[int(self.final_size//2+aug):, :] = 0 |
| 116 | |
| 117 | #print(self.flip) |
| 118 | if np.random.rand() <= self.flip: |
| 119 | #print('do flip') |
| 120 | img = cv2.flip(img, 1) |
| 121 | |
| 122 | ## to BGR |
| 123 | #img = np.array(img) |