Benign python Download

magiclabel 0.1.0

Legitimate Python package

“AI-assisted image annotation CLI for computer vision datasets”

Python local HTTPS proxy markerPython open write mode

Evidence

Copies a file (shutil.copy) trainer.py · lines 39–43
39 (work_dir / "labels" / split).mkdir(parents=True, exist_ok=True)
40 for img in items:
41 shutil.copy(img, work_dir / "images" / split / img.name)
42 shutil.copy(labels_dir / f"{img.stem}.txt",
43 work_dir / "labels" / split / f"{img.stem}.txt")
Destructive-action word: delete review_app.py · lines 181–185
181 gr.Markdown(
182 "**Drag on the image to draw a new box** for objects the model missed. "
183 "Click a box to move or resize it via its handles, or delete it with the box's remove "
184 "button.\n\n"
185 "**To set a box's class:** double‑click the box to open its editor and **type any class "
Python local HTTPS proxy marker review_app.py · line 212
212 demo.launch(server_name="127.0.0.1", server_port=7860, share=False)
Python open write mode convertor.py · lines 101–104
101 output_json = Path(output_json)
102 output_json.parent.mkdir(parents=True, exist_ok=True)
103 with open(output_json, "w") as f:
104 json.dump(coco, f, indent=2)
Python open() file call annotator.py · lines 67–70
67def _save_yolo_boxes(txt_path, boxes, classes, img_w, img_h):
68 with open(txt_path, "w") as f:
69 for box, cls in zip(boxes, classes):
70 x, y, w_box, h_box = box

No evidence locations were recorded for this file. Raw result

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