| | |
| | | x_max = max(pt2d[0,:]) |
| | | y_max = max(pt2d[1,:]) |
| | | |
| | | k = 0.35 |
| | | # k = 0.35 was being used beforehand |
| | | # k = 0.2 to 0.40 |
| | | k = np.random.random_sample() * 0.2 + 0.2 |
| | | x_min -= 0.6 * k * abs(x_max - x_min) |
| | | y_min -= 2 * k * abs(y_max - y_min) |
| | | x_max += 0.6 * k * abs(x_max - x_min) |
| | |
| | | roll = -roll |
| | | img = img.transpose(Image.FLIP_LEFT_RIGHT) |
| | | |
| | | # Rotate? |
| | | # rnd = np.random.random_sample() |
| | | # if rnd < 0.5: |
| | | # if roll >= 0: |
| | | # img = img.rotate(30) |
| | | # roll -= 30 |
| | | # else: |
| | | # img = img.rotate(-30) |
| | | # roll += 30 |
| | | # Blur? |
| | | rnd = np.random.random_sample() |
| | | if rnd < 0.05: |
| | | img = img.filter(ImageFilter.BLUR) |
| | | |
| | | # Bin values |
| | | bins = np.array(range(-99, 102, 3)) |
| | |
| | | if self.transform is not None: |
| | | img = self.transform(img) |
| | | |
| | | return img, labels, cont_labels, elf.X_train[index] |
| | | return img, labels, cont_labels, self.X_train[index] |
| | | |
| | | def __len__(self): |
| | | # 122,450 |
| | |
| | | R = R[:3,:] |
| | | pose_annot.close() |
| | | |
| | | roll = np.arctan2(R[1][0], R[0][0]) * 180 / np.pi |
| | | roll = -np.arctan2(R[1][0], R[0][0]) * 180 / np.pi |
| | | yaw = np.arctan2(-R[2][0], np.sqrt(R[2][1] ** 2 + R[2][2] ** 2)) * 180 / np.pi |
| | | pitch = -np.arctan2(R[2][1], R[2][2]) * 180 / np.pi |
| | | |
| | |
| | | x_max += 0.6 * k * abs(x_max - x_min) |
| | | y_max += 0.6 * k * abs(y_max - y_min) |
| | | img = img.crop((int(x_min), int(y_min), int(x_max), int(y_max))) |
| | | |
| | | # Flip? |
| | | # rnd = np.random.random_sample() |
| | | # if rnd < 0.5: |
| | | # yaw = -yaw |
| | | # roll = -roll |
| | | # img = img.transpose(Image.FLIP_LEFT_RIGHT) |
| | | |
| | | # Bin values |
| | | bins = np.array(range(-99, 102, 3)) |