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Twitter saliency filter analysis -- Part 01: Installation
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import logging | |
from pathlib import Path | |
logging.basicConfig(level=logging.ERROR) | |
BIN_MAPS = {"Darwin": "mac", "Linux": "linux"} | |
HOME_DIR = Path("../").expanduser() | |
try: | |
import google.colab | |
!python3 -m pip install -q pandas scikit-learn scikit-image statsmodels requests dash | |
![[ -d image-crop-analysis ]] || git clone https://github.com/twitter-research/image-crop-analysis.git | |
HOME_DIR = Path("./image-crop-analysis").expanduser() | |
IN_COLAB = True | |
except: | |
IN_COLAB = False | |
import sys, platform | |
sys.path.append(str(HOME_DIR / "src")) | |
bin_dir = HOME_DIR / Path("./bin") | |
bin_path = bin_dir / BIN_MAPS[platform.system()] / "candidate_crops" | |
model_path = bin_dir / "fastgaze.vxm" | |
data_dir = HOME_DIR / Path("./data/") | |
data_dir.exists() |
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