Sourcery Starbot ⭐ refactored tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation #158
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SourceryAI
commented
Feb 7, 2023
| model = get_model('vgg19') | ||
| model = get_model('vgg19') |
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Lines 62-124 refactored with the following changes:
- Replace a[0:x] with a[:x] and a[x:len(a)] with a[x:] (
remove-redundant-slice-index)
| model = get_model('vgg19') | ||
| model = get_model('vgg19') |
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Lines 45-62 refactored with the following changes:
- Replace a[0:x] with a[:x] and a[x:len(a)] with a[x:] (
remove-redundant-slice-index)
| model = get_model('vgg19') | ||
| model = get_model('vgg19') |
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Lines 43-64 refactored with the following changes:
- Replace a[0:x] with a[:x] and a[x:len(a)] with a[x:] (
remove-redundant-slice-index)
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| "image_id": 0, | ||
| "category_id": 1, | ||
| "keypoints": [], | ||
| "score": 0 | ||
| "score": 0, | ||
| "image_id": image_id, | ||
| } | ||
| one_result["image_id"] = image_id | ||
| keypoints = np.zeros((18, 3)) | ||
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Function append_result refactored with the following changes:
- Merge dictionary assignment with declaration (
merge-dict-assign)
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| "image_id": 0, | ||
| "category_id": 1, | ||
| "keypoints": [], | ||
| "score": 0 | ||
| "score": 0, | ||
| "image_id": image_id, | ||
| } | ||
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| one_result["image_id"] = image_id | ||
| keypoints = np.zeros((17, 3)) | ||
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| for part in range(17): | ||
| ind = ORDER_COCO[part] | ||
| index = int(person_to_joint_assoc[ridxPred, ind]) | ||
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| if -1 == index: | ||
| if index == -1: |
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Function append_result_legacy refactored with the following changes:
- Merge dictionary assignment with declaration (
merge-dict-assign) - Ensure constant in comparison is on the right (
flip-comparison)
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| image = image.astype(np.uint8) | ||
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| return image | ||
| return image.astype(np.uint8) |
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Function inverse_inception_preprocess refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| if mode not in preprocessors: | ||
| return image | ||
| return preprocessors[mode](image) | ||
| return image if mode not in preprocessors else preprocessors[mode](image) |
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Function preprocess refactored with the following changes:
- Lift code into else after jump in control flow (
reintroduce-else) - Replace if statement with if expression (
assign-if-exp)
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| range_x = list(range(int(min_x), int(max_x), 1)) | ||
| range_y = list(range(int(min_y), int(max_y), 1)) | ||
| range_x = list(range(int(min_x), int(max_x))) | ||
| range_y = list(range(int(min_y), int(max_y))) |
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Function put_vec_maps refactored with the following changes:
- Replace range(x, y, 1) with range(x, y) [×2] (
remove-unit-step-from-range)
| if -1 == index: | ||
| if index == -1: |
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Function get_result refactored with the following changes:
- Ensure constant in comparison is on the right (
flip-comparison)
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| kp_lines = [ | ||
| [keypoints.index('neck'), keypoints.index('right_hip')], | ||
| return [ | ||
| [keypoints.index('neck'), keypoints.index('right_hip')], | ||
| [keypoints.index('right_hip'), keypoints.index('right_knee')], | ||
| [keypoints.index('right_knee'), keypoints.index('right_ankle')], | ||
| [keypoints.index('neck'), keypoints.index('left_hip')], | ||
| [keypoints.index('neck'), keypoints.index('left_hip')], | ||
| [keypoints.index('left_hip'), keypoints.index('left_knee')], | ||
| [keypoints.index('left_knee'), keypoints.index('left_ankle')], | ||
| [keypoints.index('neck'), keypoints.index('right_shoulder')], | ||
| [keypoints.index('neck'), keypoints.index('right_shoulder')], | ||
| [keypoints.index('right_shoulder'), keypoints.index('right_elbow')], | ||
| [keypoints.index('right_elbow'), keypoints.index('right_wrist')], | ||
| [keypoints.index('right_shoulder'), keypoints.index('right_eye')], | ||
| [keypoints.index('neck'), keypoints.index('left_shoulder')], | ||
| [keypoints.index('right_elbow'), keypoints.index('right_wrist')], | ||
| [keypoints.index('right_shoulder'), keypoints.index('right_eye')], | ||
| [keypoints.index('neck'), keypoints.index('left_shoulder')], | ||
| [keypoints.index('left_shoulder'), keypoints.index('left_elbow')], | ||
| [keypoints.index('left_elbow'), keypoints.index('left_wrist')], | ||
| [keypoints.index('left_shoulder'), keypoints.index('left_eye')], | ||
| [keypoints.index('neck'), keypoints.index('nose')], | ||
| [keypoints.index('left_shoulder'), keypoints.index('left_eye')], | ||
| [keypoints.index('neck'), keypoints.index('nose')], | ||
| [keypoints.index('nose'), keypoints.index('right_eye')], | ||
| [keypoints.index('nose'), keypoints.index('left_eye')], | ||
| [keypoints.index('nose'), keypoints.index('left_eye')], | ||
| [keypoints.index('right_eye'), keypoints.index('right_ear')], | ||
| [keypoints.index('left_eye'), keypoints.index('left_ear')] | ||
| [keypoints.index('left_eye'), keypoints.index('left_ear')], | ||
| ] | ||
| return kp_lines |
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Function kp_connections refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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