update README.md

README.md

@@ -7,7 +7,7 @@ As of now, it mainly consists of `PCDet` toolbox for 3D object detection from po
 
 ### What does `PCDet` toolbox do?
 
-Note that we have upgrated `PCDet` from `v0.1` to `v0.2` with prety new structures to support various datasets and models.
+Note that we have upgrated `PCDet` from `v0.1` to `v0.2` with pretty new structures to support various datasets and models.
 
 `PCDet` is a general PyTorch-based codebase for 3D object detection from point cloud. 
 It currently supports multiple state-of-the-art 3D object detection methods with highly refactored codes for both one-stage and two-stage 3D detection frameworks.

docs/GETTING_STARTED.md

@@ -17,7 +17,7 @@ python test.py --cfg_file ${CONFIG_FILE} --batch_size ${BATCH_SIZE} --eval_all
 
 * To test with multiple GPUs:
 ```shell script
-sh scripts/slurm_test_mgpu.sh ${NUM_GPUS} \ 
+sh scripts/slurm_test_mgpu.sh ${PARTITION} ${NUM_GPUS} \ 
     --cfg_file ${CONFIG_FILE} --batch_size ${BATCH_SIZE}
 ```
 
@@ -41,4 +41,4 @@ sh scripts/slurm_train.sh ${PARTITION} ${JOB_NAME} ${NUM_GPUS} \
 * Train with a single GPU:
 ```shell script
 python train.py --cfg_file ${CONFIG_FILE} --batch_size ${BATCH_SIZE} --epochs 50
-```
\ No newline at end of file
+```

pcdet/datasets/kitti/kitti_dataset.py

@@ -182,9 +182,7 @@ class KittiDataset(DatasetTemplate):
 
             return info
 
-        # temp = process_single_scene(self.sample_id_list[0])
         sample_id_list = sample_id_list if sample_id_list is not None else self.sample_id_list
-        sample_id_list = sample_id_list[:10]
         with futures.ThreadPoolExecutor(num_workers) as executor:
             infos = executor.map(process_single_scene, sample_id_list)
         return list(infos)