车牌识别Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
Python · active 2023-08-19 → 2026-05-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1003 days from 2023-08-19 to 2026-05-17. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 13 total, peak 1 in a day. Comments: 43 total, peak 8 in a day. Stars: 356 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| nanlidashi | 7 | 0 | 0 | 6 |
| KunxiSun | 5 | 0 | 0 | 5 |
| pcb9382 | 4 | 0 | 0 | 1 |
| Duktig12 | 4 | 0 | 0 | 4 |
| Powerfulidot | 3 | 0 | 0 | 2 |
| leaf918 | 3 | 0 | 0 | 3 |
| wirsnow | 2 | 0 | 0 | 2 |
| WeLcome-seemed | 2 | 0 | 0 | 2 |
| chiragbheemaiah | 2 | 0 | 2 | 0 |
| 164ljwu | 2 | 0 | 0 | 2 |
| wcyjerry | 2 | 0 | 0 | 2 |
| zjykzj | 2 | 0 | 0 | 1 |
| lyb82n | 2 | 0 | 0 | 0 |
| Haaask | 2 | 0 | 0 | 2 |
| yihong1120 | 1 | 0 | 0 | 0 |
| risangbaskoro | 1 | 0 | 0 | 1 |
| moyuxiaowangzi | 1 | 0 | 0 | 1 |
| zengweigit | 1 | 0 | 0 | 0 |
| TanakaEmily | 1 | 0 | 0 | 1 |
| IronmanVsThanos | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#91nanlidashi2025-12-11 09:37我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue#99wkexinw2025-12-02 02:49权重文件可以导出onnx模型，但使用onnxruntime加载推理却异常？
- Issue comment#52164ljwu2025-08-27 13:42Does input_size value (94x24) can change to other value?
- Issue comment#50164ljwu2025-08-27 13:41> 用预训练的模型测试所给的测试集，怎么只有0.9的正确率，再训练了自己的数据集之后就只有0.74了。。。
- Issue comment#97pcb93822025-06-03 06:47基于yolo的车牌检测和车牌识别，准确率99%+，可商用，还有数据集提供
- Issue comment#91nanlidashi2025-05-17 14:04我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#91WeLcome-seemed2025-05-17 12:06我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#91nanlidashi2025-05-17 11:24我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#91WeLcome-seemed2025-05-17 05:01我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#94yijie-02025-05-11 15:17请问这是什么错误？
- Issue comment#44Atailhalfahorn2025-04-10 13:29你们测试的正确率都有多少
- Issue comment#44wirsnow2025-03-25 07:42你们测试的正确率都有多少
- Issue comment#44Haaask2025-03-25 07:32你们测试的正确率都有多少
- Issue comment#91nanlidashi2025-03-25 06:41我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#91Haaask2025-03-25 02:41我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#91nanlidashi2025-03-23 12:36我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#66leaf9182025-03-23 10:56maxpool3d 在tensorrt中不支持
- Issue comment#66Duktig122025-03-23 10:55maxpool3d 在tensorrt中不支持
- Issue comment#66leaf9182025-03-23 10:52maxpool3d 在tensorrt中不支持
- Issue comment#66Duktig122025-03-23 10:49maxpool3d 在tensorrt中不支持
- Issue comment#66leaf9182025-03-23 10:43maxpool3d 在tensorrt中不支持
- Issue comment#66Duktig122025-03-23 10:39maxpool3d 在tensorrt中不支持
- Issue comment#91Duktig122025-03-23 10:35我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么
- Issue comment#43rtx9782025-03-09 14:43训练过程中，forward输出全部都是nan
- Issue comment#94TanakaEmily2025-02-25 08:47请问这是什么错误？
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 356 stars here means stars gained during the window, not the repo's star count.