johan
johan
### Scenario I am working with a few datasets, some are very large and some are quite small, all are tracked by DVC. I have set up a shared cache...
# Feature Request When I run `dvc repro` dvc detects which dependencies have changed an therefore which stages needs to be reproduced. I would like to access the granular changes...
**The problem**: I'm trying to run `extract_features` on my data but keep getting `BrokenPipeError`. I tried it on two different computers (both with the same environment) with the same error....
### Request In .dvc files under `outs` there is a `push` field, I think a `pull` field would be useful too. Data marked with `pull: false` would not be downloaded...
## ❓Question I am trying to predict some features of a very small object in a very large image. To make it manageable I therefore go for a 2-step approach...
## 🐞Describing the bug Hi I noticed that for some `stride` values on a PyTorch `Conv2d` layer conversion takes much longer or never finishes at all. I made a table...
## ❓Question Hi, I have videos in `yuv422p10le` format on which I have trained a PyTorch model. To reduce overhead I did not bother to convert from YUV to RGB...
**Describe the bug** Brush tool example does not work **To Reproduce** Copy example from https://labelstud.io/tags/brush#Example **Expected behavior** What is the difference between `Brush` and `BrushLabel`? I'm not sure what is...
## 🐞Describing the bug I trained the default torchvision implementation of MobileNetV3Large and convert it to CoreML. In fp32 both models give identical results but when converted to fp16 the...
## 🌱 Describe your Feature Request I am training models with XGBoost 3.0.5 but that version is not supported and gives different results when converted. I tried downgrading to 1.4.2...