| 000 | 01645nam a22002777a 4500 | ||
|---|---|---|---|
| 005 | 20250722150727.0 | ||
| 008 | 250722s2024 ii ao||fr|||| 00| 0 eng d | ||
| 020 | _a9789355516961 | ||
| 040 |
_aEG-GaU _cEG-GaU _dEG-GaU _erda |
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| 082 | 0 | 4 |
_223 _a006.37 _bn.g.n. |
| 100 | 1 |
_aNuti, Gopi Krishna, _eauthor. _960459 |
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| 245 | 1 | 0 |
_aNeural network computer vision with OpenCV 5 : _bbuild computer vision solutions using Python and DNN module / _cGopi Krishna Nuti. |
| 250 | _a 1st edition. | ||
| 264 | 1 |
_aNew Delhi : _bBPB Publications, _c2024. |
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| 300 |
_a266 pages : _billustrations ; _c24 cm |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | _a1. Introduction to Computer Vision ‡ 2. Basics of Imaging ‡ 3. Challenges in Computer Vision ‡ 4. Classical Solutions ‡ 5. Deep Learning and CNNs ‡ 6. OpenCV DNN Module ‡ 7. Modern Solutions for Image Classification ‡ 8. Modern Solutions for Object Detection ‡ 9. Faces and Text ‡ 10. Running the Code ‡ 11. End‑to‑end Demo. | ||
| 520 | _aA practical guide to building intelligent computer vision systems using Python and OpenCV. Covers core techniques from morphological operations to deep learning with DNN frameworks, object detection (YOLO, SSD, R‑CNN), face/text recognition, and hands‑on code examples.:contentReference[oaicite:1]{index=1} | ||
| 650 | 0 |
_aComputer vision. _916776 |
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| 650 | 0 |
_aArtificial neural networks. _960460 |
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| 942 |
_2ddc _cBK |
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| 999 |
_c11079 _d11079 |
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