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# main | ||
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# 3.4.8 | ||
- Raise an informative error in case of unexpected task_name. | ||
### 3.4.8 | ||
- Raise an informative error in case of unexpected task_name | ||
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# 3.4.7 | ||
- Remove tqdm when splitting a lidar tile to avoid cluttered logs during data preparation. | ||
### 3.4.7 | ||
- Remove tqdm when splitting a lidar tile to avoid cluttered logs during data preparation | ||
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# 3.4.6 | ||
- Document the possible use of ign-pdal-tools for colorization. | ||
### 3.4.6 | ||
- Document the possible use of ign-pdal-tools for colorization | ||
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# 3.4.5 | ||
- Set a default task_name (fit) to avoid common error at lauch time. | ||
### 3.4.5 | ||
- Set a default task_name (fit) to avoid common error at lauch time | ||
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# 3.4.4 | ||
- Remove duplicated experiment configuration. | ||
### 3.4.4 | ||
- Remove duplicated experiment configuration | ||
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# 3.4.3 | ||
- Remove outdated and incorrect hydra parameter in config.yaml. | ||
### 3.4.3 | ||
- Remove outdated and incorrect hydra parameter in config.yaml | ||
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# 3.4.2 | ||
- Reconstruct absolute path of input LAS files explicitely, removing a costly glob operation. | ||
### 3.4.2 | ||
- Reconstruct absolute path of input LAS files explicitely, removing a costly glob operation | ||
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# 3.4.1 | ||
- Fix dataset description for pacasam: there was an unwanted int-to-int mapping in classification_dict. | ||
### 3.4.1 | ||
- Fix dataset description for pacasam: there was an unwanted int-to-int mapping in classification_dict | ||
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# 3.4.0 | ||
- Allow inference for the smallest possible patches (num_nodes=1) to have consistent inference behavior | ||
## 3.4.0 | ||
- Allow inference for the smallest possible patches (num_nodes=1) to have consistent inference behavior |