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Makefile
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Makefile
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.PHONY: clean data lint requirements sync_data_to_s3 sync_data_from_s3
#################################################################################
# GLOBALS #
#################################################################################
PROJECT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST))))
BUCKET = [OPTIONAL] your-bucket-for-syncing-data (do not include 's3://')
PROFILE = default
PYTHON_INTERPRETER = python
JSON_DOWNLOAD_URL = https://www.dropbox.com/s/8netfite5znq6o4/Indian_Number_plates.json
IMAGES_ZIP = https://www.dropbox.com/s/k3mhm1kz192bwue/Indian_Number_Plates.7z
INFERENCE = https://www.dropbox.com/s/3jyh4xs8x15r3dh/plate_inference_tf2_2.h5
YOLO_W = https://www.dropbox.com/s/cl54hm80unj3nzm/yolov3-custom_last.weights
ifeq (,$(shell which conda))
HAS_CONDA=False
else
HAS_CONDA=True
endif
#################################################################################
# COMMANDS #
#################################################################################
## Install Python Dependencies
requirements: test_environment
$(PYTHON_INTERPRETER) -m pip install pip setuptools wheel --progress-bar off
$(PYTHON_INTERPRETER) -m pip install -r requirements.txt
## Make Dataset
data: directory_setup json_7z serialize_csv rawpreprocess
retinanet: pascalvoc inference_download retinanet_source
yolo: yolo_last_weights
ETL: requirements data retinanet yolo
directory_setup:
mkdir -p data/0_raw data/1_external data/2_interim data/3_processed data/0_raw/Indian_Number_Plates
mkdir -p data/3_processed/VOC/Annotations data/3_processed/VOC/JPEGImages data/3_processed/VOC/ImageSets/Main
mkdir -p output/models/TrainingOutput output/models/snapshots output/models/inference
json_7z:
wget -c $(JSON_DOWNLOAD_URL) -O data/0_raw/Indian_Number_plates.json -q --show-progress
wget -c $(IMAGES_ZIP) -P data/0_raw -q --show-progress
7z x -y data/0_raw/Indian_Number_Plates.7z -odata/0_raw/Indian_Number_Plates
serialize_csv:
$(PYTHON_INTERPRETER) src/data/make_dataset.py
rawpreprocess:
$(PYTHON_INTERPRETER) src/data/preprocess.py -i data/0_raw/ -o data/3_processed/
$(PYTHON_INTERPRETER) src/data/generate_annotations.py
pascalvoc:
cp data/0_raw/Indian_Number_Plates/* data/3_processed/VOC/JPEGImages
$(PYTHON_INTERPRETER) src/data/generate_pascalvoc.py data/0_raw/Indian_Number_plates.json data/3_processed/VOC/JPEGImages data/3_processed/VOC/Annotations
inference_download:
wget -c $(INFERENCE) -O output/models/inference/plate_inference_tf2.h5 -q --show-progress
retinanet_source:
rm -rf keras-retinanet
git clone https://github.com/udaylunawat/keras-retinanet.git
$(PYTHON_INTERPRETER) -m pip install keras-retinanet/.
cd keras-retinanet
$(PYTHON_INTERPRETER) setup.py build_ext --inplace
cd ..
yolo_last_weights:
wget -c $(YOLO_W) -O output/models/inference/yolov3-custom_last.weights
## Train Model
train: data
$(PYTHON_INTERPRETER) src/models/train_model.py
## Delete all compiled Python files
clean:
find . -type f -name "*.py[co]" -delete
find . -type d -name "__pycache__" -delete
## Lint using flake8
lint:
flake8 src
## Upload Data to S3
sync_data_to_s3:
ifeq (default,$(PROFILE))
aws s3 sync data/ s3://$(BUCKET)/data/
else
aws s3 sync data/ s3://$(BUCKET)/data/ --profile $(PROFILE)
endif
## Download Data from S3
sync_data_from_s3:
ifeq (default,$(PROFILE))
aws s3 sync s3://$(BUCKET)/data/ data/
else
aws s3 sync s3://$(BUCKET)/data/ data/ --profile $(PROFILE)
endif
## Set up python interpreter environment
create_environment:
ifeq (True,$(HAS_CONDA))
@echo ">>> Detected conda, creating conda environment."
ifeq (3,$(findstring 3,$(PYTHON_INTERPRETER)))
conda create --name $(PROJECT_NAME) python=3
else
conda create --name $(PROJECT_NAME) python=2.7
endif
@echo ">>> New conda env created. Activate with:\nsource activate $(PROJECT_NAME)"
else
$(PYTHON_INTERPRETER) -m pip install -q virtualenv virtualenvwrapper
@echo ">>> Installing virtualenvwrapper if not already installed.\nMake sure the following lines are in shell startup file\n\
export WORKON_HOME=$$HOME/.virtualenvs\nexport PROJECT_HOME=$$HOME/Devel\nsource /usr/local/bin/virtualenvwrapper.sh\n"
@bash -c "source `which virtualenvwrapper.sh`;mkvirtualenv $(PROJECT_NAME) --python=$(PYTHON_INTERPRETER)"
@echo ">>> New virtualenv created. Activate with:\nworkon $(PROJECT_NAME)"
endif
## Test python environment is setup correctly
test_environment:
$(PYTHON_INTERPRETER) test_environment.py
#################################################################################
# PROJECT RULES #
#################################################################################
#################################################################################
# Self Documenting Commands #
#################################################################################
.DEFAULT_GOAL := help
# Inspired by <http://marmelab.com/blog/2016/02/29/auto-documented-makefile.html>
# sed script explained:
# /^##/:
# * save line in hold space
# * purge line
# * Loop:
# * append newline + line to hold space
# * go to next line
# * if line starts with doc comment, strip comment character off and loop
# * remove target prerequisites
# * append hold space (+ newline) to line
# * replace newline plus comments by `---`
# * print line
# Separate expressions are necessary because labels cannot be delimited by
# semicolon; see <http://stackoverflow.com/a/11799865/1968>
.PHONY: help
help:
@echo "$$(tput bold)Available rules:$$(tput sgr0)"
@echo
@sed -n -e "/^## / { \
h; \
s/.*//; \
:doc" \
-e "H; \
n; \
s/^## //; \
t doc" \
-e "s/:.*//; \
G; \
s/\\n## /---/; \
s/\\n/ /g; \
p; \
}" ${MAKEFILE_LIST} \
| LC_ALL='C' sort --ignore-case \
| awk -F '---' \
-v ncol=$$(tput cols) \
-v indent=19 \
-v col_on="$$(tput setaf 6)" \
-v col_off="$$(tput sgr0)" \
'{ \
printf "%s%*s%s ", col_on, -indent, $$1, col_off; \
n = split($$2, words, " "); \
line_length = ncol - indent; \
for (i = 1; i <= n; i++) { \
line_length -= length(words[i]) + 1; \
if (line_length <= 0) { \
line_length = ncol - indent - length(words[i]) - 1; \
printf "\n%*s ", -indent, " "; \
} \
printf "%s ", words[i]; \
} \
printf "\n"; \
}' \
| more $(shell test $(shell uname) = Darwin && echo '--no-init --raw-control-chars')