Torrent details for "Udemy Ai Human Intrusion and Object Detection With Yolov7 Pyth" Log in to bookmark
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Checked by:
Category:
Language:
English
Total Size:
652.1 MB
Info Hash:
E22C88A98F6BE87D32C0E7D60C6B29E8C81BC8C1
Added By:
Added:
May 29, 2025, 7:02 a.m.
Stats:
|
(Last updated: May 29, 2025, 7:08 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 1 - Course Overview and Features.mp4 | 12.2 MB |
| 12 - Using CMD to Open VS Code.mp4 | 1.8 MB |
| sort.cpython-312.pyc | 18.8 KB |
| classes.txt | 625 bytes |
| intrusion_detection.py | 9.6 KB |
| intrusion_input1.mp4 | 3.5 MB |
| point.txt | 54 bytes |
| sample_img_0.png | 656.2 KB |
| input.png | 10.4 MB |
| intrusion_input2.mp4 | 98.5 MB |
| point.txt | 117 bytes |
| requirements.txt | 11 bytes |
| sample_img_0.png | 656.2 KB |
| sample_img_10.png | 660.6 KB |
| sample_img_100.png | 702.3 KB |
| sample_img_105.png | 704.6 KB |
| sample_img_110.png | 704.1 KB |
| sample_img_115.png | 705.0 KB |
| sample_img_120.png | 704.7 KB |
| sample_img_125.png | 705.5 KB |
| sample_img_130.png | 706.4 KB |
| sample_img_135.png | 705.9 KB |
| sample_img_140.png | 706.4 KB |
| sample_img_145.png | 705.2 KB |
| sample_img_15.png | 666.7 KB |
| sample_img_150.png | 708.2 KB |
| sample_img_155.png | 710.6 KB |
| sample_img_160.png | 711.1 KB |
| sample_img_165.png | 711.3 KB |
| sample_img_20.png | 668.9 KB |
| sample_img_25.png | 671.4 KB |
| sample_img_30.png | 673.1 KB |
| sample_img_35.png | 673.7 KB |
| sample_img_40.png | 674.8 KB |
| sample_img_45.png | 677.5 KB |
| sample_img_5.png | 657.9 KB |
| sample_img_50.png | 690.8 KB |
| sample_img_55.png | 692.5 KB |
| sample_img_60.png | 694.5 KB |
| sample_img_65.png | 697.5 KB |
| sample_img_70.png | 697.7 KB |
| sample_img_75.png | 698.1 KB |
| sample_img_80.png | 698.5 KB |
| sample_img_85.png | 699.3 KB |
| sample_img_90.png | 699.4 KB |
| sample_img_95.png | 699.8 KB |
| save_image.py | 888 bytes |
| sort.py | 11.0 KB |
| yolov8n.pt | 6.2 MB |
| 13 - Understanding Folder and File Structure.mp4 | 4.7 MB |
| 14 - Understanding Key Packages for Intrusion Detection System.mp4 | 9.4 MB |
| 15 - Polygon Coordinate File Access and Parsing.mp4 | 3.4 MB |
| 16 - Understanding and Customizing Key Variables in YOLOv8.mp4 | 7.4 MB |
| 17 - Model Inference Code Explanation for Intrusion Detection.mp4 | 88.9 MB |
| 18 - Tkinter Implementation for RealTime Intrusion Detection.mp4 | 20.8 MB |
| 19 - Getting Polygon Coordinates Using Roboflow.mp4 | 28.4 MB |
| 20 - Intrusion Detection Code Execution.mp4 | 39.7 MB |
| 21 - Course WrapUp.mp4 | 4.6 MB |
| 2 - Installing Python.mp4 | 11.4 MB |
| 3 - VS Code Setup for Python Development.mp4 | 32.6 MB |
| 4 - Object Detection Project Overview.mp4 | 3.5 MB |
| r50-csp.yaml | 1.4 KB |
| x50-csp.yaml | 1.4 KB |
| yolor-csp-x.yaml | 1.6 KB |
| yolor-csp.yaml | 1.6 KB |
| yolor-d6.yaml | 2.0 KB |
| yolor-e6.yaml | 2.0 KB |
| yolor-p6.yaml | 2.0 KB |
| yolor-w6.yaml | 2.0 KB |
| yolov3-spp.yaml | 1.5 KB |
| yolov3.yaml | 1.5 KB |
| yolov4-csp.yaml | 1.6 KB |
| yolov7-d6.yaml | 6.0 KB |
| yolov7-e6.yaml | 5.2 KB |
| yolov7-e6e.yaml | 9.3 KB |
| yolov7-tiny-silu.yaml | 3.0 KB |
| yolov7-tiny.yaml | 4.5 KB |
| yolov7-w6.yaml | 4.5 KB |
| yolov7.yaml | 3.9 KB |
| yolov7x.yaml | 4.4 KB |
| yolov7-d6.yaml | 6.1 KB |
| yolov7-e6.yaml | 5.4 KB |
| yolov7-e6e.yaml | 9.4 KB |
| yolov7-tiny.yaml | 4.5 KB |
| yolov7-w6.yaml | 4.7 KB |
| yolov7.yaml | 3.9 KB |
| yolov7x.yaml | 4.4 KB |
| coco.yaml | 1.4 KB |
| hyp.scratch.custom.yaml | 1.5 KB |
| hyp.scratch.p5.yaml | 1.5 KB |
| hyp.scratch.p6.yaml | 1.5 KB |
| hyp.scratch.tiny.yaml | 1.5 KB |
| README.md | 7.1 KB |
| boundingbox.py | 960 bytes |
| client.py | 14.0 KB |
| dog.jpg | 159.9 KB |
| dog_result.jpg | 179.9 KB |
| labels.py | 1.3 KB |
| processing.py | 2.1 KB |
| render.py | 3.1 KB |
| horses_prediction.jpg | 151.4 KB |
| mask.png | 101.6 KB |
| performance.png | 164.5 KB |
| pose.png | 347.1 KB |
| tennis.jpg | 6.8 KB |
| tennis_caption.png | 18.6 KB |
| tennis_panoptic.png | 8.1 KB |
| tennis_semantic.jpg | 4.4 KB |
| gitignore | 4.0 KB |
| inference.py | 5.4 KB |
| bus.jpg | 476.0 KB |
| horses.jpg | 130.4 KB |
| image1.jpg | 78.8 KB |
| image2.jpg | 140.3 KB |
| image3.jpg | 114.9 KB |
| zidane.jpg | 165.0 KB |
| inference_tkinter.py | 8.7 KB |
| inpu_video1.mp4 | 28.3 MB |
| __init__.py | 6 bytes |
| __init__.cpython-312.pyc | 191 bytes |
| __init__.cpython-37.pyc | 144 bytes |
| common.cpython-312.pyc | 125.9 KB |
| common.cpython-37.pyc | 75.1 KB |
| experimental.cpython-312.pyc | 16.0 KB |
| experimental.cpython-37.pyc | 9.7 KB |
| yolo.cpython-312.pyc | 62.1 KB |
| yolo.cpython-37.pyc | 29.1 KB |
| common.py | 82.4 KB |
| experimental.py | 10.6 KB |
| yolo.py | 39.1 KB |
| yolov7.pdf | 5.8 MB |
| requirements.txt | 59 bytes |
| get_coco.sh | 820 bytes |
| YOLOv7-Dynamic-Batch-ONNXRUNTIME.ipynb | 5.7 MB |
| YOLOv7-Dynamic-Batch-TENSORRT.ipynb | 12.0 MB |
| YOLOv7CoreML.ipynb | 873.2 KB |
| YOLOv7onnx.ipynb | 1.5 MB |
| YOLOv7trt.ipynb | 1.7 MB |
| compare_YOLOv7_vs_YOLOv5m6.ipynb | 3.7 MB |
| compare_YOLOv7_vs_YOLOv5m6_half.ipynb | 3.8 MB |
| compare_YOLOv7_vs_YOLOv5s6.ipynb | 3.7 MB |
| compare_YOLOv7e6_vs_YOLOv5x6.ipynb | 3.7 MB |
| compare_YOLOv7e6_vs_YOLOv5x6_half.ipynb | 3.7 MB |
| instance.ipynb | 476.9 KB |
| keypoint.ipynb | 465.2 KB |
| reparameterization.ipynb | 30.8 KB |
| visualization.ipynb | 482.3 KB |
| traced_model.pt | 24.0 MB |
| __init__.py | 6 bytes |
| __init__.cpython-312.pyc | 190 bytes |
| __init__.cpython-37.pyc | 143 bytes |
| autoanchor.cpython-312.pyc | 11.1 KB |
| autoanchor.cpython-37.pyc | 6.1 KB |
| datasets.cpython-312.pyc | 76.2 KB |
| datasets.cpython-37.pyc | 40.3 KB |
| general.cpython-312.pyc | 47.8 KB |
| general.cpython-37.pyc | 27.4 KB |
| google_utils.cpython-312.pyc | 5.7 KB |
| google_utils.cpython-37.pyc | 3.2 KB |
| loss.cpython-312.pyc | 81.7 KB |
| loss.cpython-37.pyc | 40.8 KB |
| metrics.cpython-312.pyc | 13.5 KB |
| metrics.cpython-37.pyc | 7.6 KB |
| plots.cpython-312.pyc | 32.9 KB |
| plots.cpython-37.pyc | 17.6 KB |
| torch_utils.cpython-312.pyc | 23.9 KB |
| torch_utils.cpython-37.pyc | 13.0 KB |
| activations.py | 2.2 KB |
| add_nms.py | 5.5 KB |
| autoanchor.py | 7.0 KB |
| __init__.py | 5 bytes |
| mime.sh | 780 bytes |
| resume.py | 1.1 KB |
| userdata.sh | 1.2 KB |
| datasets.py | 54.9 KB |
| general.py | 36.0 KB |
| Dockerfile | 821 bytes |
| additional_requirements.txt | 105 bytes |
| app.yaml | 172 bytes |
| google_utils.py | 4.8 KB |
| loss.py | 73.3 KB |
| metrics.py | 9.1 KB |
| plots.py | 20.4 KB |
| torch_utils.py | 15.1 KB |
| __init__.py | 6 bytes |
| log_dataset.py | 815 bytes |
| wandb_utils.py | 15.9 KB |
| yolov7-tiny.pt | 12.1 MB |
| 5 - Understanding Key Packages for Object Detection.mp4 | 7.3 MB |
| 6 - Detailed Explanation of the YOLOv7tinypt File.mp4 | 3.8 MB |
| 7 - Implementing YOLOv7tiny for Live Video Analysis.mp4 | 24.7 MB |
| 8 - Integrating YOLOv7tiny with a Tkinter GUI.mp4 | 16.4 MB |
| 9 - Performing RealTime Object Detection with YOLOv7tiny.mp4 | 31.3 MB |
| 10 - Installing Python.mp4 | 9.4 MB |
| 11 - VS Code Setup for Python Development.mp4 | 32.7 MB |
| Bonus Resources.txt | 70 bytes |
Name
DL
Uploader
Size
S/L
Added
-
939.5 MB
[39
/
0]
2025-04-03
| Uploaded by freecoursewb | Size 939.5 MB | Health [ 39 /0 ] | Added 2025-04-03 |
-
904.9 MB
[17
/
7]
2025-03-06
| Uploaded by freecoursewb | Size 904.9 MB | Health [ 17 /7 ] | Added 2025-03-06 |
-
383.6 MB
[26
/
2]
2025-02-22
| Uploaded by Prom3th3uS | Size 383.6 MB | Health [ 26 /2 ] | Added 2025-02-22 |
NOTE
SOURCE: Udemy Ai Human Intrusion and Object Detection With Yolov7 Pyth
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