I completed the first notebook of this training and noticed that I am getting blank images being stored in my data folder as opposed to actual synthetic data. Has anyone had the same issue with regards to this project of, “Fruit Detrection for Fruit Manufacturing Line” or something similar?
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Bootstrapping Object Detection Model Training with 3D Synthetic Data | 13 | 1492 | July 20, 2023 | |
| Synthetic Data Generation for Training Computer Vision Models course | 2 | 149 | February 18, 2025 | |
| DLI Course SDG: RGB files generated by 0_generate_data_headless are completely black | 1 | 88 | July 31, 2025 | |
| Defect synthetic data generation | 0 | 599 | March 30, 2023 | |
| No fruits are showed on omniverse code | 12 | 727 | September 15, 2023 | |
| Offline Dataset Generation(generator.py) - get_groundtruth rgb -> returns gray scale RGB | 3 | 959 | August 11, 2021 | |
| Centerpose_synthetic quickstart notebook error in sample dataset: KeyError: 'plane_center' | 9 | 185 | September 27, 2024 | |
| Preparing Models for Object Detection with Real and Synthetic Data and the NVIDIA Transfer Learning Toolkit | 10 | 860 | June 29, 2021 | |
| Training with "train_ssd.py" - error at the end of the dataset | 5 | 1366 | September 30, 2021 | |
| Developing a Pallet Detection Model Using OpenUSD and Synthetic Data | 8 | 1817 | June 6, 2025 |