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When running the command " python -m object_detection.model_main_tf2 model_dir=../../workspace/training_demo/training_demo/models/my_ssd_resnet50_v1_fpn/pipeline.config"
I encounter an import error. The specific error message is not provided, but it results in an ImportError. I expect the command to execute without errors and begin training the object detection model.
3. Expected Behavior
I expect the command to execute successfully, initiating the training process for the object detection model specified by the provided pipeline configuration file.
4. System information
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): AMI Name: Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.15 (Ubuntu 20.04)
TensorFlow installed from (source or binary): pip install tensorflow
TensorFlow version (use command below): 2.16.1
Python version: 3.10.13
NVIDIA driver version: 535.161.08
CUDA versions available: cuda-12.2
EC2 server instance type: g4dn.xlarge
GPU model and memory: Tesla T4 and 16GB
The text was updated successfully, but these errors were encountered:
1. The entire URL of the file you are using
https://github.com/tensorflow/models.git
2. Describe the bug
When running the command " python -m object_detection.model_main_tf2 model_dir=../../workspace/training_demo/training_demo/models/my_ssd_resnet50_v1_fpn/pipeline.config"
I encounter an import error. The specific error message is not provided, but it results in an ImportError. I expect the command to execute without errors and begin training the object detection model.
3. Expected Behavior
I expect the command to execute successfully, initiating the training process for the object detection model specified by the provided pipeline configuration file.
4. System information
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): AMI Name: Deep Learning OSS Nvidia Driver AMI GPU TensorFlow 2.15 (Ubuntu 20.04)
TensorFlow installed from (source or binary): pip install tensorflow
TensorFlow version (use command below): 2.16.1
Python version: 3.10.13
NVIDIA driver version: 535.161.08
CUDA versions available: cuda-12.2
EC2 server instance type: g4dn.xlarge
GPU model and memory: Tesla T4 and 16GB
The text was updated successfully, but these errors were encountered: