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Last Error Received:
Process: Ensemble Mode
If this error persists, please contact the developers with the error details.
Raw Error Details:
RuntimeError: "The parameter is incorrect."
Tr…
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from groundingdino.util.inference import load_model, load_image, predict, annotate
import cv2
model = load_model("groundingdino/config/GroundingDINO_SwinT_OGC.py", "weights/groundingdino_swint_ogc…
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When you train your CRAFT model in a weakly-supervised manner:
- What are your transformations in transforms.Compose, which transformation and in which order?
- Did you move your batch of preprocess…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
I propose the development of a Yield Prediction Model using machine learning that estimate…
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Phone Model:
Xiaomi Redmi Note 6 Pro
FreeDcam Version:
4.2
Problem Description:
The aspect ratio of the main camera is 4:3, but the liveview/viewfinder crops the picture to something wider li…
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@vkhalidov I need to use the segmentation map produced by the model for a dataset that I'm creating but the edges of the output are getting cropped not sure why it is happening.
**Segmentation Map**
…
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1. output layout is CHW, using perf_analyzer to profile.
```
@autoserialize
@dali.pipeline_def(batch_size=3, num_threads=1, device_id=0)
def pipe():
images = dali.fn.external_source(device="…
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Hello, does the supervised comparison model you provided here use the same data enhancement method(random crop (with resize and random flip), random color distortion, and random Gaussian blur)?
![ima…
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I use my own dataset to train MUNIT(which is similar to the synthetic2cityscape), but the training process is very unstable. How can I make training procedure more stable?
some of the charts are look…
NYCXI updated
4 weeks ago