ivanliu1989

export PROJECT_DIR=<YOUR PROJECT DIRECTORY>
export TF_API_DIR=$PROJECT_DIR/tf-models/research
export PYTHONPATH=$PYTHONPATH:$TF_API_DIR:$TF_API_DIR/slim

ivanliu1989

tensorboard --logdir=${MODEL_DIR}

ivanliu1989

export PROJECT_DIR=<YOUR PROJECT DIRECTORY>
export MODEL_DIR=$PROJECT_DIR/models/<YOUR MODEL>
export PIPELINE_CONFIG_PATH=$MODEL_DIR/pipeline.config
export TF_RESEARCH_MODEL_DIR=$PROJECT_DIR/tf-models/research

export NUM_TRAIN_STEPS=50000
export SAMPLE_1_OF_N_EVAL_EXAMPLES=1

# From the project/tf-models/research/ directory
# Make sure you've updated PYTHONPATH

ivanliu1989

model {
  ssd {
    num_classes: 6
    image_resizer {
      fixed_shape_resizer {
        height: 300
        width: 300
      }
    }
    feature_extractor {

ivanliu1989

export PROJECT_DIR=<YOUR PROJECT DIRECTORY>

cd $PROJECT_DIR/models
curl -L http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v2_quantized_300x300_coco_2019_01_03.tar.gz -o ssd_mobilenet_v2_quantized.tar.gz
tar -xvf ssd_mobilenet_v2_quantized.tar.gz
rm ssd_mobilenet_v2_quantized.tar.gz

ivanliu1989

cat <<EOT >> data/label_map.pbtxt
item {
    id: 1
    name: 'Blouse'
}
item {
    id: 2
    name: 'Shorts'
}
item {

ivanliu1989

python generate_tfrecord.py --csv_input=data/train_labels.csv --image_dir=data --output_path=data/train.record
python generate_tfrecord.py --csv_input=data/test_labels.csv --image_dir=data --output_path=data/test.record

ivanliu1989

"""
Usage:
  # From tensorflow/models/
  # Create train data:
  python generate_tfrecord.py --csv_input=data/train_labels.csv  --output_path=data/train.record
  # Create test data:
  python generate_tfrecord.py --csv_input=data/test_labels.csv  --output_path=data/test.record
"""
from __future__ import division
from __future__ import print_function

ivanliu1989

# Install Tensorflow (tensorflow-gpu for GPU)
pip install tensorflow --upgrade
# Install dependencies
pip install Cython --upgrade
pip install contextlib2 --upgrade
pip install pillow --upgrade
pip install lxml --upgrade
pip install jupyter --upgrade
pip install matplotlib --upgrade

ivanliu1989

# Define your project name
export PROJECT=FashionDetector
# Under your project workspace
# Create your project root directory
mkdir $PROJECT
cd $PROJECT
# Create directory to store your model data
mkdir data
# Create directory to store your pre trained models and their related config files
mkdir models