Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Python · active 2023-08-15 → 2026-04-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 966 days from 2023-08-15 to 2026-04-06. Pushes: 1 total, peak 1 in a day. Pull requests: 5 total, peak 2 in a day. Issues: 19 total, peak 2 in a day. Comments: 36 total, peak 4 in a day. Stars: 583 total, peak 6 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 |
|---|---|---|---|---|
| qubvel | 6 | 1 | 1 | 4 |
| tshr-d-dragon | 4 | 0 | 0 | 4 |
| Raito03 | 4 | 0 | 0 | 2 |
| omidvarnia | 3 | 0 | 1 | 2 |
| idhamari | 2 | 0 | 1 | 1 |
| Baakchsu | 2 | 0 | 0 | 2 |
| leolln | 2 | 0 | 0 | 1 |
| yildizyakup | 2 | 0 | 0 | 0 |
| FederCO23 | 2 | 0 | 0 | 1 |
| Vipin2705 | 1 | 0 | 0 | 1 |
| AniketP04 | 1 | 0 | 0 | 1 |
| DinaSuzzete18 | 1 | 0 | 0 | 0 |
| brunotakara | 1 | 0 | 0 | 0 |
| paulwu808 | 1 | 0 | 0 | 0 |
| OnurKerimoglu | 1 | 0 | 0 | 1 |
| emrullahpolat | 1 | 0 | 0 | 1 |
| simonmelouah | 1 | 0 | 0 | 0 |
| Jordan-Pierce | 1 | 0 | 0 | 1 |
| myyyy1987 | 1 | 0 | 0 | 1 |
| Masumekeshavarzi | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#592OnurKerimoglu2025-06-04 11:43TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type float64 of argument 'x'.
- Issue comment#594omidvarnia2025-02-10 20:32Update on the binary image segmentation example
- Issue comment#594qubvel2025-02-10 09:35Update on the binary image segmentation example
- Issue comment#594omidvarnia2025-02-10 07:25Update on the binary image segmentation example
- Pull request#594omidvarnia2025-02-10 07:19
- Issue#593pedrozamboni2025-01-10 15:47load model issue
- Issue comment#592FederCO232024-11-25 18:06TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type float64 of argument 'x'.
- Issue comment#592naragana2024-11-09 14:13TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type float64 of argument 'x'.
- Issue comment#583Vipin27052024-10-21 09:25massive datasets loading and training
- Issue#592FederCO232024-09-28 19:59TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type float64 of argument 'x'.
- Issue comment#573ibrahim-azista2024-08-30 07:27Segformer/Transformer Backbone
- Issue comment#591qubvel2024-08-21 11:16Update efficientnet requirement to version 1.1.1
- Pull request#591qubvel2024-08-21 11:16
- Pull request#591cpegel2024-08-21 08:59
- Issue comment#403SmallChungus12024-08-11 22:39Negative loss and IoU is greater than 1
- Issue#590hrezvan2024-07-27 10:03RecursionError: maximum recursion depth exceeded in comparison
- Issue comment#374myyyy19872024-07-12 09:36module 'keras.utils' has no attribute 'generic_utils'
- Issue#589luxevar2024-07-11 16:35Training error
- Issue comment#585glbessa2024-07-10 14:22train Unet model with gray scale
- Issue comment#508tamil-eniyan2024-06-30 19:41IOU metric capped at 0.49 in a two class segmentation problem
- Issue comment#588Raito032024-05-25 17:00AttributeError: module 'keras.utils' has no attribute 'generic_utils'
- Issue#588Raito032024-05-25 17:00AttributeError: module 'keras.utils' has no attribute 'generic_utils'
- Issue#588Raito032024-05-25 16:52AttributeError: module 'keras.utils' has no attribute 'generic_utils'
- Issue comment#584Raito032024-05-25 16:48Impact of pre-trained weights ?
- Issue comment#374keepfighting6662024-05-14 07:45module 'keras.utils' has no attribute 'generic_utils'
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 583 stars here means stars gained during the window, not the repo's star count.