aws-samples/amazon-sagemaker-tensorflow-object-detection-api
Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker
PythonMIT-0
Issues
- 2
not able to train the model on different region using ml.g4dn.2xlarge for training
#35 opened by rhitwijweldxit - 0
Unable to push docker image to ECR
#32 opened by pallavigadgil - 0
- 3
Training job failed
#28 opened by QuanNguyenAUT - 2
Error pushing docker image to ECR
#23 opened by Abd-elr4hman - 1
Question : how/when is source_dir copied into the sagemaker training instance?
#18 opened by mkabatek - 1
- 1
Can't deploy
#19 opened by sina-4 - 2
- 1
Error while making predictions ,input mismatch
#17 opened by ipshita-saxena - 1
Error deploying with TensorFlowModel
#22 opened by Abd-elr4hman - 3
GPU is not utilized when training.
#8 opened by t-T-s - 3
Missing image
#14 opened by bonzoq - 1
Error when inferring with a deployed model
#15 opened by bonzoq - 1
No gpu detected
#13 opened by dragynir - 1
Increasing batch size
#12 opened by nfbalbontin - 5
Error while trying to deploy model
#10 opened by nfbalbontin - 1
Error in pip's dependency
#11 opened by nfbalbontin - 2
TrainingImageConfig with TrainingRepositoryAccessMode set to VPC must be provided when using a training image from a private Docker registry
#9 opened by G-Slient - 4
Training Failed
#5 opened by aadu999 - 3
The class_id in data processing 1_prepare_data/docker/code/utils/tf_record_util.py doesn't match the label_map.pbtxt
#6 opened by t-T-s - 0
Training only uses CPU
#7 opened by t-T-s - 0
Missing ecr_image_fullname file
#3 opened by aleksandar - 2
not able to deploy the trained model
#1 opened by mouhannadali