update TFOD template

This commit is contained in:
rushtehrani
2021-01-29 12:46:25 -08:00
parent f44e1d31c0
commit 53612cc145

View File

@@ -2,16 +2,41 @@
arguments:
parameters:
- name: cvat-annotation-path
value: annotation-dump/sample_dataset
value: 'artifacts/{{workflow.namespace}}/annotations/'
hint: Path to annotated data (COCO format) in default object storage. In CVAT, this parameter will be pre-populated.
displayName: Dataset path
hint: Path to annotated data (TFRecord format) in default object storage. In CVAT, this parameter will be pre-populated.
visibility: internal
- name: cvat-output-path
value: workflow-data/output/sample_output
hint: Path to store output artifacts in default object storage (i.e s3). In CVAT, this parameter will be pre-populated.
displayName: Workflow output path
visibility: internal
- name: val-split
value: 10
displayName: Validation split size
type: input.number
visibility: public
hint: Enter validation set size in percentage of full dataset. (0 - 100)
- name: num-augmentation-cycles
value: 1
displayName: Number of augmentation cycles
type: input.number
visibility: public
hint: Number of augmentation cycles, zero means no data augmentation
- name: preprocessing-parameters
value: |-
RandomBrightnessContrast:
p: 0.2
GaussianBlur:
p: 0.3
GaussNoise:
p: 0.4
HorizontalFlip:
p: 0.5
VerticalFlip:
p: 0.3
displayName: Preprocessing parameters
visibility: public
type: textarea.textarea
hint: 'See <a href="https://albumentations.ai/docs/api_reference/augmentations/transforms/" target="_blank">documentation</a> for more information on parameters.'
- name: cvat-model
value: frcnn-res50-coco
@@ -35,26 +60,31 @@ arguments:
- name: 'SSDLite MobileNet-COCO'
value: ssdlite-mobilenet-coco
- name: hyperparameters
value: |-
num-steps=10000
displayName: Hyperparameters
visibility: public
type: textarea.textarea
hint: 'See <a href="https://docs.onepanel.ai/docs/getting-started/use-cases/computervision/annotation/cvat/cvat_annotation_model/#tfod-hyperparameters" target="_blank">documentation</a> for more information on parameters.'
- name: cvat-finetune-checkpoint
value: ''
hint: Select the last fine-tune checkpoint for this model. It may take up to 5 minutes for a recent checkpoint show here. Leave empty if this is the first time you're training this model.
displayName: Checkpoint path
visibility: public
- name: cvat-num-classes
value: '10'
hint: Number of classes. In CVAT, this parameter will be pre-populated.
displayName: Number of classes
visibility: internal
- name: hyperparameters
value: |-
num_steps: 10000
displayName: Hyperparameters
visibility: public
type: textarea.textarea
hint: 'See <a href="https://docs.onepanel.ai/docs/reference/cvat/built-in-models#tfod-hyperparameters" target="_blank">documentation</a> for more information on parameters.'
- name: dump-format
value: cvat_coco
displayName: CVAT dump format
visibility: private
- name: cvat-finetune-checkpoint
value: ''
hint: Path to the last fine-tune checkpoint for this model in default object storage. Leave empty if this is the first time you're training this model.
displayName: Checkpoint path
visibility: public
- name: tf-image
value: tensorflow/tensorflow:1.13.1-py3
type: select.select
@@ -67,10 +97,6 @@ arguments:
- name: 'TensorFlow 1.13.1 GPU Image'
value: 'tensorflow/tensorflow:1.13.1-gpu-py3'
- name: dump-format
value: cvat_tfrecord
visibility: public
- displayName: Node pool
hint: Name of node pool or group to run this workflow task
type: select.nodepool
@@ -83,14 +109,22 @@ entrypoint: main
templates:
- dag:
tasks:
- name: preprocessing
template: preprocessing
- name: train-model
template: tensorflow
dependencies: [preprocessing]
arguments:
artifacts:
- name: data
from: "{{tasks.preprocessing.outputs.artifacts.processed-data}}"
name: main
- container:
args:
- |
apt-get update && \
apt-get install -y python3-pip git wget unzip libglib2.0-0 libsm6 libxext6 libxrender-dev && \
pip install --upgrade pip && \
pip install pillow lxml Cython contextlib2 matplotlib numpy scipy pycocotools pyyaml test-generator && \
cd /mnt/src/tf/research && \
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim && \
@@ -105,14 +139,15 @@ templates:
--extras="{{workflow.parameters.hyperparameters}}" \
--model="{{workflow.parameters.cvat-model}}" \
--num_classes="{{workflow.parameters.cvat-num-classes}}" \
--sys_finetune_checkpoint={{workflow.parameters.cvat-finetune-checkpoint}}
--sys_finetune_checkpoint="{{workflow.parameters.cvat-finetune-checkpoint}}" \
--from_preprocessing=True
command:
- sh
- -c
image: '{{workflow.parameters.tf-image}}'
volumeMounts:
- mountPath: /mnt/data
name: data
name: processed-data
- mountPath: /mnt/output
name: output
workingDir: /mnt/src
@@ -122,8 +157,6 @@ templates:
artifacts:
- name: data
path: /mnt/data/datasets/
s3:
key: '{{workflow.namespace}}/{{workflow.parameters.cvat-annotation-path}}'
- name: models
path: /mnt/data/models/
optional: true
@@ -136,6 +169,7 @@ templates:
path: /mnt/src/tf
- git:
repo: https://github.com/onepanelio/templates.git
revision: v0.18.0
name: tsrc
path: /mnt/src/train
name: tensorflow
@@ -144,8 +178,61 @@ templates:
- name: model
optional: true
path: /mnt/output
sidecars:
- name: tensorboard
image: '{{workflow.parameters.tf-image}}'
command:
- sh
- '-c'
env:
- name: ONEPANEL_INTERACTIVE_SIDECAR
value: 'true'
args:
# Read logs from /mnt/output - this directory is auto-mounted from volumeMounts
- tensorboard --logdir /mnt/output/checkpoints/
ports:
- containerPort: 6006
name: tensorboard
- container:
args:
- |
pip install --upgrade pip &&\
pip install opencv-python albumentations tqdm pyyaml pycocotools && \
cd /mnt/src/preprocessing/workflows/albumentations-preprocessing && \
python -u main.py \
--data_aug_params="{{workflow.parameters.preprocessing-parameters}}" \
--format="tfrecord" \
--val_split={{workflow.parameters.val-split}} \
--aug_steps={{workflow.parameters.num-augmentation-cycles}}
command:
- sh
- -c
image: '{{workflow.parameters.tf-image}}'
volumeMounts:
- mountPath: /mnt/data
name: data
- mountPath: /mnt/output
name: processed-data
workingDir: /mnt/src
nodeSelector:
{{.NodePoolLabel}}: '{{workflow.parameters.sys-node-pool}}'
inputs:
artifacts:
- name: data
path: /mnt/data/datasets/
s3:
key: '{{workflow.namespace}}/{{workflow.parameters.cvat-output-path}}/{{workflow.name}}'
key: '{{workflow.parameters.cvat-annotation-path}}'
- git:
repo: https://github.com/onepanelio/templates.git
revision: v0.18.0
name: src
path: /mnt/src/preprocessing
name: preprocessing
outputs:
artifacts:
- name: processed-data
optional: true
path: /mnt/output
volumeClaimTemplates:
- metadata:
name: data
@@ -155,6 +242,14 @@ volumeClaimTemplates:
resources:
requests:
storage: 200Gi
- metadata:
name: processed-data
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 200Gi
- metadata:
name: output
spec: