一些关于目标检测的脚本和改进思路代码，详细请看readme.md
This report summarizes scanner evidence for z1069614715/objectdetection_script, a Python project with 7,323 GitHub stars. SynthScan examined 58,400 lines of code across 351 source files, recording 589 pattern matches distributed across 16 syntactic categories. The legacy adjusted pattern signal is 13.0 (Moderate pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 269 finding(s).
Are imports declared and package/API names verified? 199 finding(s).
Are wrappers, guards, and repeated structures necessary? 256 finding(s).
Which changes need focused human review? 589 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 589 distinct pattern matches across 16 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | mmdet-course/mmdet2yolo.py | 1 | CODE | |
| LOW | mmdet-course/mmdet2yolo.py | 1 | CODE | |
| LOW | mmdet-course/mmdet2yolo.py | 1 | CODE | |
| LOW | mmdet-course/mmdet2yolo.py | 1 | CODE | |
| LOW | damo-yolo/voc2coco.py | 4 | CODE | |
| LOW | objectdetection-tricks/tricks_10.py | 3 | CODE | |
| LOW | objectdetection-tricks/tricks_4.py | 5 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 4 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 5 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 7 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 9 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 10 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 11 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 12 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 15 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 16 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 17 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 18 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 19 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 21 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 22 | CODE | |
| LOW | objectdetection-tricks/tricks_7.py | 23 | CODE | |
| LOW | objectdetection-tricks/tricks_9.py | 1 | CODE | |
| LOW | objectdetection-tricks/tricks_9.py | 1 | CODE | |
| LOW | objectdetection-tricks/tricks_9.py | 3 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 4 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 5 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 7 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 9 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 10 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 11 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 12 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 15 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 16 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 17 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 18 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 19 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 21 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 22 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 23 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 24 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 27 | CODE | |
| LOW | objectdetection-tricks/tricks_8.py | 28 | CODE | |
| LOW | yolo-improve/yolov8-track.py | 7 | CODE | |
| LOW | yolo-improve/yolov8-track.py | 7 | CODE | |
| LOW | yolo-improve/yolov8-track.py | 7 | CODE | |
| LOW | yolo-improve/yolov8-track.py | 7 | CODE | |
| LOW | yolo-improve/yolov8-track.py | 7 | CODE | |
| LOW | yolo-improve/yolov8-objectcount.py | 4 | CODE | |
| LOW | yolo-improve/yolov8-erf.py | 4 | CODE | |
| LOW | yolo-improve/yolov8-erf.py | 4 | CODE | |
| LOW | yolo-improve/yolov8-erf.py | 4 | CODE | |
| LOW | yolo-improve/yolov8-erf.py | 4 | CODE | |
| LOW | yolo-improve/yolov8-erf.py | 8 | CODE | |
| LOW | yolo-improve/yolov8-erf.py | 9 | CODE | |
| LOW | yolo-improve/yolov7-iou.py | 1 | CODE | |
| LOW | yolo-improve/iou.py | 1 | CODE | |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 7 | CODE | |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 8 | CODE | |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 9 | CODE | |
| 138 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | objectdetection-tricks/tricks_9.py | 0 | repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r | STRING |
| HIGH | yolo-improve/yolov7-RepNCSPELAN.py | 0 | repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r | STRING |
| HIGH | yolo-improve/yolov5-RepNCSPELAN.py | 0 | repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r | STRING |
| HIGH | yolo-improve/yolov5-GOLDYOLO/common.py | 0 | repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r | STRING |
| HIGH | yolo-improve/yolov5-GFPN/extra_modules.py | 0 | repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r | STRING |
| HIGH | yolo-improve/yolov5-EVC.py | 0 | implementation of mlp with 1*1 convolutions. input: tensor with shape [b, c, h, w] | STRING |
| HIGH | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 0 | implementation of mlp with 1*1 convolutions. input: tensor with shape [b, c, h, w] | STRING |
| HIGH | yolo-improve/yolov5-backbone/PoolFormer/poolformer.py | 0 | implementation of mlp with 1*1 convolutions. input: tensor with shape [b, c, h, w] | STRING |
| HIGH | yolo-improve/ultralytics-yolo/heatmap.py | 0 | class for extracting activations and registering gradients from targetted intermediate layers | STRING |
| HIGH | yolo-gradcam/yolov8_heatmap.py | 0 | class for extracting activations and registering gradients from targetted intermediate layers | STRING |
| HIGH | yolo-gradcam/yolov5_heatmap.py | 0 | class for extracting activations and registering gradients from targetted intermediate layers | STRING |
| HIGH | yolo-gradcam/yolov11_heatmap.py | 0 | class for extracting activations and registering gradients from targetted intermediate layers | STRING |
| HIGH | yolo-gradcam/yolov7_heatmap.py | 0 | class for extracting activations and registering gradients from targetted intermediate layers | STRING |
| HIGH | yolo-gradcam/yolov9_heatmap.py | 0 | class for extracting activations and registering gradients from targetted intermediate layers | STRING |
| HIGH | yolo-improve/ultralytics-yolo/heatmap.py | 0 | normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes. | STRING |
| HIGH | yolo-gradcam/yolov8_heatmap.py | 0 | normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes. | STRING |
| HIGH | yolo-gradcam/yolov5_heatmap.py | 0 | normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes. | STRING |
| HIGH | yolo-gradcam/yolov11_heatmap.py | 0 | normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes. | STRING |
| HIGH | yolo-gradcam/yolov7_heatmap.py | 0 | normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes. | STRING |
| HIGH | yolo-gradcam/yolov9_heatmap.py | 0 | normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes. | STRING |
| HIGH | yolo-improve/yolov5-backbone/RepViT/repvit.py | 0 | this function is taken from the original tf repo. it ensures that all layers have a channel number that is divisible by | STRING |
| HIGH | …o-improve/yolov5-backbone/ODConvFuse/od_mobilenetv2.py | 0 | this function is taken from the original tf repo. it ensures that all layers have a channel number that is divisible by | STRING |
| HIGH | yolo-improve/yolov5-backbone/ODConv/od_mobilenetv2.py | 0 | this function is taken from the original tf repo. it ensures that all layers have a channel number that is divisible by | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | objectdetection-tricks/tricks_6.py | 6 | CODE | |
| LOW | objectdetection-tricks/tricks_2.py | 97 | CODE | |
| LOW | objectdetection-tricks/tricks_9.py | 169 | CODE | |
| LOW | yolo-improve/yolov7-DSConv.py | 6 | CODE | |
| LOW | yolo-improve/yolov7-iou.py | 37 | CODE | |
| LOW | yolo-improve/yolov5-res2block.py | 56 | CODE | |
| LOW | yolo-improve/yolov5-DSConv.py | 6 | CODE | |
| LOW | yolo-improve/yolov5-DBB.py | 70 | CODE | |
| LOW | yolo-improve/yolov7-DBB.py | 70 | CODE | |
| LOW | yolo-improve/iou.py | 38 | CODE | |
| LOW | yolo-improve/yolov7-odconv.py | 128 | CODE | |
| LOW | yolo-improve/yolov7-odconv.py | 136 | CODE | |
| LOW | yolo-improve/yolov5-GOLDYOLO/common.py | 311 | CODE | |
| LOW | yolo-improve/yolov5-GOLDYOLO/common.py | 17 | CODE | |
| LOW | yolo-improve/yolov5-GOLDYOLO/common.py | 193 | CODE | |
| LOW | yolo-improve/yolov5-GOLDYOLO/common.py | 261 | CODE | |
| LOW | yolo-improve/yolov5-GOLDYOLO/common.py | 399 | CODE | |
| LOW | yolo-improve/yolov5-GFPN/extra_modules.py | 24 | CODE | |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/dcnv3.py | 51 | CODE | |
| LOW | yolo-improve/yolov5-AUX/val.py | 99 | CODE | |
| LOW | yolo-improve/yolov5-AUX/export.py | 311 | CODE | |
| LOW | yolo-improve/yolov5-AUX/export.py | 510 | CODE | |
| LOW | yolo-improve/yolov5-AUX/detect.py | 54 | CODE | |
| LOW | yolo-improve/yolov5-AUX/benchmarks.py | 52 | CODE | |
| LOW | yolo-improve/yolov5-AUX/benchmarks.py | 114 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 103 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 439 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 882 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/augmentations.py | 144 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/augmentations.py | 305 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/dataloaders.py | 23 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/dataloaders.py | 84 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/augmentations.py | 25 | CODE | |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 352 | CODE | |
| LOW | yolo-improve/yolov5-backbone/EMO/emo.py | 62 | CODE | |
| LOW | yolo-improve/yolov5-backbone/EMO/emo.py | 109 | CODE | |
| LOW | yolo-improve/yolov5-backbone/EMO/emo.py | 190 | CODE | |
| LOW | yolo-improve/yolov5-backbone/NextViT/NextViT.py | 87 | CODE | |
| LOW | yolo-improve/yolov5-backbone/NextViT/NextViT.py | 254 | CODE | |
| LOW | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 453 | CODE | |
| LOW | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 161 | CODE | |
| LOW | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 290 | CODE | |
| LOW | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 294 | CODE | |
| LOW | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 394 | CODE | |
| LOW | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 490 | CODE | |
| LOW | yolo-improve/yolov5-backbone/PoolFormer/poolformer.py | 194 | CODE | |
| LOW | yolo-improve/yolov5-backbone/PoolFormer/poolformer.py | 156 | CODE | |
| LOW | yolo-improve/yolov5-backbone/PoolFormer/poolformer.py | 236 | CODE | |
| LOW | yolo-improve/yolov5-backbone/LSKNet/lsknet.py | 118 | CODE | |
| LOW | yolo-improve/yolov5-backbone/ODConvFuse/odconv.py | 167 | CODE | |
| LOW | yolo-improve/yolov5-backbone/ODConvFuse/odconv.py | 175 | CODE | |
| LOW | yolo-improve/yolov5-backbone/ODConvFuse/od_resnet.py | 47 | CODE | |
| LOW | yolo-improve/yolov5-backbone/ODConvFuse/od_resnet.py | 84 | CODE | |
| LOW | …o-improve/yolov5-backbone/ODConvFuse/od_mobilenetv2.py | 120 | CODE | |
| LOW | yolo-improve/yolov5-backbone/VanillaNet/VanillaNet.py | 122 | CODE | |
| LOW | yolo-improve/yolov5-backbone/FocalNet/FocalNet.py | 154 | CODE | |
| LOW | yolo-improve/yolov5-backbone/FocalNet/FocalNet.py | 248 | CODE | |
| LOW | yolo-improve/yolov5-backbone/FocalNet/FocalNet.py | 400 | CODE | |
| LOW | …ove/yolov5-backbone/SwinTransformer/SwinTransformer.py | 171 | CODE | |
| LOW | …ove/yolov5-backbone/SwinTransformer/SwinTransformer.py | 317 | CODE | |
| 38 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | mmdet-course/yolo2coco.py | 44 | CODE | |
| LOW | damo-yolo/voc2coco.py | 10 | CODE | |
| LOW | damo-yolo/voc2coco.py | 44 | CODE | |
| LOW | objectdetection-tricks/tricks_15.py | 84 | CODE | |
| LOW | objectdetection-tricks/tricks_5.py | 27 | CODE | |
| LOW | objectdetection-tricks/tricks_9.py | 211 | CODE | |
| LOW | yolo-improve/yolov5-aLRPLoss.py | 79 | CODE | |
| LOW | yolo-improve/yolov7-DecoupledHead.py | 58 | CODE | |
| LOW | yolo-improve/yolov7-iou.py | 37 | CODE | |
| LOW | yolo-improve/yolov5-softnms.py | 1 | CODE | |
| LOW | yolo-improve/iou.py | 38 | CODE | |
| LOW | yolo-improve/yolov7-softnms.py | 1 | CODE | |
| LOW | yolo-improve/yolov5-GFPN/extra_modules.py | 171 | CODE | |
| LOW | yolo-improve/yolov5-AUX/val.py | 99 | CODE | |
| LOW | yolo-improve/yolov5-AUX/val.py | 372 | CODE | |
| LOW | yolo-improve/yolov5-AUX/train.py | 70 | CODE | |
| LOW | yolo-improve/yolov5-AUX/train.py | 482 | CODE | |
| LOW | yolo-improve/yolov5-AUX/hubconf.py | 16 | CODE | |
| LOW | yolo-improve/yolov5-AUX/detect.py | 54 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/metrics.py | 222 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 930 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 990 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 241 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 439 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 750 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 808 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/downloads.py | 84 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/plots.py | 230 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/plots.py | 514 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 66 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 151 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 212 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 318 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 461 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 499 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 621 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 623 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/augmentations.py | 305 | CODE | |
| LOW | …rove/yolov5-AUX/utils/loggers/clearml/clearml_utils.py | 133 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/dataloaders.py | 208 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/loss.py | 44 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/plots.py | 17 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/plots.py | 111 | CODE | |
| LOW | yolo-improve/yolov5-AUX/utils/segment/general.py | 147 | CODE | |
| LOW | yolo-improve/yolov5-AUX/models/tf.py | 381 | CODE | |
| LOW | yolo-improve/yolov5-AUX/models/common.py | 318 | CODE | |
| LOW | yolo-improve/yolov5-AUX/models/common.py | 506 | CODE | |
| LOW | yolo-improve/yolov5-AUX/models/common.py | 658 | CODE | |
| LOW | yolo-improve/yolov5-AUX/models/common.py | 741 | CODE | |
| LOW | yolo-improve/yolov5-AUX/models/yolo.py | 304 | CODE | |
| LOW | yolo-improve/yolov9-backbone/yolo.py | 1 | CODE | |
| LOW | yolo-improve/yolov9-backbone/yolo.py | 30 | CODE | |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 141 | CODE | |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 175 | CODE | |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 298 | CODE | |
| LOW | yolo-improve/yolov5-backbone/yolo.py | 1 | CODE | |
| LOW | yolo-improve/yolov5-backbone/yolo.py | 84 | CODE | |
| LOW | yolo-improve/yolov5-backbone/NextViT/NextViT.py | 254 | CODE | |
| LOW | yolo-improve/yolov5-backbone/NextViT/NextViT.py | 310 | CODE | |
| LOW | yolo-improve/yolov5-backbone/MobileNetV4/mobilenetv4.py | 319 | CODE | |
| 35 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/make.sh | 2 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/make.sh | 6 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 5 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/setup.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/setup.py | 5 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | …o-improve/yolov5-DCNV3/ops_dcnv3/functions/__init__.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | …o-improve/yolov5-DCNV3/ops_dcnv3/functions/__init__.py | 5 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | …improve/yolov5-DCNV3/ops_dcnv3/functions/dcnv3_func.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | …improve/yolov5-DCNV3/ops_dcnv3/functions/dcnv3_func.py | 5 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/__init__.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/__init__.py | 5 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/dcnv3.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/dcnv3.py | 5 | # -------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | yolo-improve/yolov5-backbone/FocalNet/FocalNet.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | yolo-improve/yolov5-backbone/FocalNet/FocalNet.py | 6 | # -------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …ove/yolov5-backbone/SwinTransformer/SwinTransformer.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …ove/yolov5-backbone/SwinTransformer/SwinTransformer.py | 6 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | …/yolov5-backbone/CVPR2023-EfficientViT/EfficientViT.py | 1 | # -------------------------------------------------------- | COMMENT |
| MEDIUM | …/yolov5-backbone/CVPR2023-EfficientViT/EfficientViT.py | 5 | # -------------------------------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | damo-yolo/voc2coco.py | 25 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/val.py | 326 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/export.py | 109 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/export.py | 183 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/export.py | 254 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/export.py | 326 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/hubconf.py | 59 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/hubconf.py | 75 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/benchmarks.py | 91 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/benchmarks.py | 133 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/autobatch.py | 55 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 482 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 492 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 640 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 1036 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 1065 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 1105 | except Exception as e: # use OpenCV | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/downloads.py | 70 | except Exception as e: # url2 | CODE |
| LOW⚡ | yolo-improve/yolov5-AUX/utils/downloads.py | 112 | except Exception: | CODE |
| LOW⚡ | yolo-improve/yolov5-AUX/utils/downloads.py | 115 | except Exception: | CODE |
| LOW⚡ | yolo-improve/yolov5-AUX/utils/downloads.py | 118 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/plots.py | 61 | except Exception: # download if missing | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/plots.py | 507 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/plots.py | 539 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/autoanchor.py | 136 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 104 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 174 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 185 | except Exception: # no backward method | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 195 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 290 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 357 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 315 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 413 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 439 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 587 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 1123 | except Exception: | CODE |
| MEDIUM | yolo-improve/yolov5-AUX/utils/general.py | 1119 | def imwrite(path, im): | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/augmentations.py | 45 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/augmentations.py | 343 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/loggers/__init__.py | 113 | except Exception: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/loggers/__init__.py | 392 | except Exception as e: | CODE |
| LOW | …-improve/yolov5-AUX/utils/loggers/comet/comet_utils.py | 61 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/segment/plots.py | 139 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/models/yolo.py | 392 | except Exception as e: | CODE |
| MEDIUM | yolo-improve/yolov5-AUX/models/yolo.py | 393 | print(f'Error in {cfg}: {e}') | CODE |
| LOW | yolo-improve/yolov5-AUX/data/Objects365.yaml | 437 | except Exception as e: | CODE |
| LOW | yolo-improve/yolov5-AUX/data/xView.yaml | 132 | except Exception as e: | CODE |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 376 | except Exception: | CODE |
| LOW | yolo-improve/ultralytics-yolo/yolo2coco.py | 100 | except Exception as e: | CODE |
| LOW | yolo/dataset/xml2txt.py | 67 | except Exception as e: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | mmdet-course/yolo2coco.py | 20 | def train_test_val_split_random(img_paths,ratio_train=0.8,ratio_test=0.1,ratio_val=0.1): | CODE |
| LOW | mmdet-course/yolo2coco.py | 29 | def train_test_val_split_by_files(img_paths, root_dir): | CODE |
| LOW | objectdetection-tricks/tricks_15.py | 57 | def get_images_and_labels_path(images_folder_path, labels_folder_path): | CODE |
| LOW | objectdetection-tricks/tricks_9.py | 190 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov7-RepNCSPELAN.py | 28 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov5-CCFM.py | 32 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov5-RepNCSPELAN.py | 28 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov5-DBB.py | 184 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov7-DBB.py | 178 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov5-GOLDYOLO/common.py | 78 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov5-GFPN/extra_modules.py | 91 | def get_equivalent_kernel_bias(self): | CODE |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 34 | def check_forward_equal_with_pytorch_double(): | CODE |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 64 | def check_forward_equal_with_pytorch_float(): | CODE |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 93 | def check_backward_equal_with_pytorch_double(channels=4, grad_input=True, grad_offset=True, grad_mask=True): | CODE |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py | 156 | def check_backward_equal_with_pytorch_float(channels=4, grad_input=True, grad_offset=True, grad_mask=True): | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/triton.py | 32 | def create_input_placeholders() -> typing.List[InferInput]: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/triton.py | 44 | def create_input_placeholders() -> typing.List[InferInput]: | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/dataloaders.py | 1197 | def create_classification_dataloader(path, | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 66 | def reshape_classifier_output(model, n=1000): | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/torch_utils.py | 89 | def torch_distributed_zero_first(local_rank: int): | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/loggers/__init__.py | 151 | def on_pretrain_routine_start(self): | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py | 348 | def download_dataset_artifact(self, artifact_path): | CODE |
| LOW | …-improve/yolov5-AUX/utils/loggers/comet/comet_utils.py | 19 | def download_model_checkpoint(opt, experiment): | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/segment/metrics.py | 17 | def ap_per_class_box_and_mask( | CODE |
| LOW | yolo-improve/yolov5-AUX/models/tf.py | 554 | def representative_dataset_gen(dataset, ncalib=100): | CODE |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 21 | def patch_pose_classes_for_gradcam(): | CODE |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 25 | def pose_kpts_decode_no_inplace(self, kpts: torch.Tensor) -> torch.Tensor: | CODE |
| LOW | yolo-improve/ultralytics-yolo/heatmap.py | 360 | def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam): | CODE |
| LOW | yolo-improve/yolov5-backbone/RIFormer/RIFormer.py | 185 | def get_equivalent_scale_bias(self): | CODE |
| LOW | yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py | 121 | def convert_dilated_to_nondilated(kernel, dilate_rate): | CODE |
| LOW | yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py | 135 | def merge_dilated_into_large_kernel(large_kernel, dilated_kernel, dilated_r): | CODE |
| LOW | cv-attention/Biformer.py | 411 | def regional_routing_attention_torch( | CODE |
| LOW | yolo-gradcam/yolov8_heatmap.py | 281 | def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam): | CODE |
| LOW | yolo-gradcam/yolov5_heatmap.py | 122 | def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam): | CODE |
| LOW | yolo-gradcam/yolov11_heatmap.py | 281 | def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam): | CODE |
| LOW | yolo-gradcam/yolov7_heatmap.py | 127 | def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam): | CODE |
| LOW | yolo-gradcam/yolov9_heatmap.py | 122 | def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam): | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py | 8 | logger = logging.getLogger(__name__) | CODE |
| LOW | …-improve/yolov5-AUX/utils/loggers/comet/comet_utils.py | 12 | logger = logging.getLogger(__name__) | CODE |
| LOW | yolo-improve/yolov5-AUX/utils/loggers/comet/hpo.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | yolo-improve/yolov5-backbone/EMO/emo.py | 10 | __all__ = ['EMO_1M', 'EMO_2M', 'EMO_5M', 'EMO_6M'] | CODE |
| LOW | yolo-improve/yolov5-backbone/NextViT/NextViT.py | 10 | __all__ = ['nextvit_small', 'nextvit_base', 'nextvit_large'] | CODE |
| LOW | yolo-improve/yolov5-backbone/ConvNextV2/convnextv2.py | 14 | __all__ = ['convnextv2_atto', 'convnextv2_femto', 'convnextv2_pico', 'convnextv2_nano', 'convnextv2_tiny', 'convnextv2_b | CODE |
| LOW | …yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py | 15 | __all__ = ['efficientformerv2_s0', 'efficientformerv2_s1', 'efficientformerv2_s2', 'efficientformerv2_l'] | CODE |
| LOW | yolo-improve/yolov5-backbone/RepViT/repvit.py | 6 | __all__ = ['repvit_m0_9', 'repvit_m1_0', 'repvit_m1_1', 'repvit_m1_5', 'repvit_m2_3'] | CODE |
| LOW | yolo-improve/yolov5-backbone/MobileNetV4/mobilenetv4.py | 6 | __all__ = ['MobileNetV4ConvSmall', 'MobileNetV4ConvMedium', 'MobileNetV4ConvLarge', 'MobileNetV4HybridMedium', 'MobileNe | CODE |
| LOW | yolo-improve/yolov5-backbone/PoolFormer/poolformer.py | 27 | __all__ = ['poolformer_s12', 'poolformer_s24', 'poolformer_s36', 'poolformer_m48', 'poolformer_m36'] | CODE |
| LOW | yolo-improve/yolov5-backbone/ODConvFuse/od_resnet.py | 6 | __all__ = ['od_resnet18', 'od_resnet34', 'od_resnet50', 'od_resnet101'] | CODE |
| LOW | …o-improve/yolov5-backbone/ODConvFuse/od_mobilenetv2.py | 7 | __all__ = ['od_mobilenetv2_050', 'od_mobilenetv2_075', 'od_mobilenetv2_100'] | CODE |
| LOW | …lo-improve/yolov5-backbone/CVPR2024-StarNet/starnet.py | 16 | __all__ = ['starnet_s050', 'starnet_s100', 'starnet_s150', 'starnet_s1', 'starnet_s2', 'starnet_s3', 'starnet_s4'] | CODE |
| LOW | yolo-improve/yolov5-backbone/VanillaNet/VanillaNet.py | 13 | __all__ = ['vanillanet_5', 'vanillanet_6', 'vanillanet_7', 'vanillanet_8', 'vanillanet_9', 'vanillanet_10', 'vanillanet_ | CODE |
| LOW⚡ | yolo-improve/yolov5-backbone/FocalNet/FocalNet.py | 15 | __all__ = ['focalnet_tiny_srf', 'focalnet_tiny_lrf', 'focalnet_small_srf', 'focalnet_small_lrf', 'focalnet_base_srf', 'f | CODE |
| LOW⚡ | …ove/yolov5-backbone/SwinTransformer/SwinTransformer.py | 15 | __all__ = ['SwinTransformer_Tiny'] | CODE |
| LOW | yolo-improve/yolov5-backbone/fasternet/fasternet.py | 13 | __all__ = ['fasternet_t0', 'fasternet_t1', 'fasternet_t2', 'fasternet_s', 'fasternet_m', 'fasternet_l'] | CODE |
| LOW | …improve/yolov5-backbone/inceptionnext/inceptionnext.py | 17 | __all__ = ['inceptionnext_tiny', 'inceptionnext_small', 'inceptionnext_base', 'inceptionnext_base_384'] | CODE |
| LOW | yolo-improve/yolov5-backbone/RIFormer/RIFormer.py | 9 | __all__ = ['RIFormer'] | CODE |
| LOW | …o-improve/yolov5-backbone/EfficientViT/efficientViT.py | 8 | __all__ = [ | CODE |
| LOW | yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py | 19 | __all__ = ['unireplknet_a', 'unireplknet_f', 'unireplknet_p', 'unireplknet_n', 'unireplknet_t', 'unireplknet_s', 'unirep | CODE |
| LOW | …/yolov5-backbone/CVPR2023-EfficientViT/EfficientViT.py | 17 | __all__ = ['EfficientViT_M0', 'EfficientViT_M1', 'EfficientViT_M2', 'EfficientViT_M3', 'EfficientViT_M4', 'EfficientViT_ | CODE |
| LOW | yolo-improve/yolov5-backbone/ODConv/od_resnet.py | 6 | __all__ = ['od_resnet18', 'od_resnet34', 'od_resnet50', 'od_resnet101'] | CODE |
| LOW | yolo-improve/yolov5-backbone/ODConv/od_mobilenetv2.py | 7 | __all__ = ['od_mobilenetv2_050', 'od_mobilenetv2_075', 'od_mobilenetv2_100'] | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | yolo-improve/yolov5-AUX/utils/augmentations.py | 43 | except ImportError: # package not installed, skip | CODE |
| HIGH | yolo-improve/yolov5-AUX/models/tf.py | 394 | except NameError: | CODE |
| HIGH | yolo-improve/yolov9-backbone/yolo.py | 47 | except: | CODE |
| HIGH | yolo-improve/yolov5-backbone/yolo.py | 17 | except: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | mmdet-course/config/yolox_tiny_8xb8-300e_visdrone.py | 21 | # Example to use different file client | COMMENT |
| LOW | damo-yolo/Annotations/ReadMe.md | 1 | # 存放VOC标注格式的文件夹 | COMMENT |
| LOW | damo-yolo/JPEGImages/ReadMe.md | 1 | # 存放图像的文件夹 | COMMENT |
| LOW | yolo-improve/yolov8-track.py | 41 | fp16=False, | COMMENT |
| LOW | yolo-improve/yolov8-objectcount.py | 41 | # video_output = cv2.VideoWriter(f'{output_dir}/{video_path}', fourcc, fps, size) | COMMENT |
| LOW | yolo-improve/yolov7-DecoupledHead.py | 181 | # print('Strides: %s' % m.stride.tolist()) | COMMENT |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/make.sh | 1 | #!/usr/bin/env bash | COMMENT |
| LOW | …o-improve/yolov5-DCNV3/ops_dcnv3/functions/__init__.py | 1 | # -------------------------------------------------------- | COMMENT |
| LOW | yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/__init__.py | 1 | # -------------------------------------------------------- | COMMENT |
| LOW | yolo-improve/yolov5-AUX/utils/autoanchor.py | 141 | COMMENT | |
| LOW | yolo-improve/yolov5-AUX/models/common.py | 321 | # TorchScript: *.torchscript | COMMENT |
| LOW | yolo-improve/yolov9-backbone/yolov9-c-custom.yaml | 1 | # YOLOv9 | COMMENT |
| LOW | yolo-improve/yolov5-backbone/PoolFormer/poolformer.py | 1 | # Copyright 2021 Garena Online Private Limited | COMMENT |
| LOW | yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py | 61 | # - it has been installed (follow https://github.com/AILab-CVC/UniRepLKNet), and | COMMENT |
| LOW | data-offline-aug/segment_data_aug.py | 41 | A.RandomBrightnessContrast(p=0.1), # Randomly change brightness and contrast of the input image. | COMMENT |
| LOW | data-offline-aug/object_detection_data_aug.py | 41 | A.RandomSunFlare(p=0.1), # Simulates Sun Flare for the image | COMMENT |
| LOW | yolo/dataset/VOCdevkit/txt/ReadMe.md | 1 | # 存放YOLO标注格式的文件夹 | COMMENT |
| LOW | yolo/dataset/VOCdevkit/Annotations/ReadMe.md | 1 | # 存放VOC标注格式的文件夹 | COMMENT |
| LOW | yolo/dataset/VOCdevkit/JPEGImages/ReadMe.md | 1 | # 存放图像的文件夹 | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | yolo-improve/yolov5-AUX/val.py | 281 | # Print results | COMMENT |
| LOW | yolo-improve/yolov5-AUX/val.py | 287 | # Print results per class | COMMENT |
| LOW | yolo-improve/yolov5-AUX/detect.py | 157 | # Print results | COMMENT |
| LOW | yolo-improve/yolov5-AUX/detect.py | 209 | # Print results | COMMENT |
| LOW | yolo-improve/yolov5-AUX/benchmarks.py | 99 | # Print results | COMMENT |
| LOW | yolo-improve/yolov5-AUX/benchmarks.py | 136 | # Print results | COMMENT |
| LOW | yolo-improve/yolov5-AUX/utils/downloads.py | 17 | # Check if string is URL and check if URL exists | COMMENT |
| LOW | yolo-improve/yolov5-AUX/utils/general.py | 430 | # Check if environment supports image displays | COMMENT |
| LOW | yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py | 157 | # Check if running the Experiment with the Comet Optimizer | COMMENT |
| LOW | yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py | 433 | # Check if running Experiment with Comet Optimizer | COMMENT |
| LOW | …rove/yolov5-AUX/utils/loggers/clearml/clearml_utils.py | 112 | # Set data to data_dict because wandb will crash without this information and opt is the best way | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | yolo-improve/yolov5-AUX/utils/dataloaders.py | 321 | # Create a new video capture object | COMMENT |
| MEDIUM | yolo-improve/yolov5-AUX/utils/callbacks.py | 15 | # Define the available callbacks | COMMENT |
| MEDIUM | yolo-improve/yolov5-AUX/models/yolo.py | 285 | # Create a YOLOv5 classification model from a YOLOv5 detection model | COMMENT |
| MEDIUM | yolo-improve/yolov5-AUX/models/yolo.py | 300 | # Create a YOLOv5 classification model from a *.yaml file | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | mmdet-course/config/yolox_tiny_8xb8-300e_visdrone.py | 22 | # Method 1: simply set the data root and let the file I/O module | COMMENT |
| MEDIUM | yolo-improve/yolov5-AUX/models/common.py | 624 | # YOLOv5 input-robust model wrapper for passing cv2/np/PIL/torch inputs. Includes preprocessing, inference and NMS | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | yolo-improve/yolov5-AUX/utils/autobatch.py | 23 | # Usage: | COMMENT |
| LOW | yolo-improve/yolov5-AUX/models/common.py | 319 | # Usage: | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | yolo-improve/yolov5-AUX/export.py | 41 | $ cd .. && git clone https://github.com/zldrobit/tfjs-yolov5-example.git && cd tfjs-yolov5-example | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | yolo-improve/yolov5-AUX/utils/augmentations.py | 325 | # TODO: implement AugMix, AutoAug & RandAug in albumentation | COMMENT |