def test_namespace(self):
Config.clear()
Config.define_int("namespace1.test_int", 5, "A test for int")
with Config.namespace("namespace2"):
Config.define_int("test_int", 5, "A test for int")
Config.define_int("subnamespace.test_int", 5, "A test for int")
with Config.namespace("subnamespace2"):
Config.define_int("plop", 4, "test of subnamespace")
self.assertDictEqual(
Config.get_dict(), {
'namespace1': {
'test_int': 5
},
'namespace2': {
'test_int': 5,
'subnamespace': {
'test_int': 5
},
'subnamespace2': {
'plop': 4
}
}
})
def test_load_conf_cmd(self, mock_args):
Config.clear()
Config.define_bool("VaR", False, "turn me true")
Config.define_int("v1", 1, "var")
Config.define_int("v2", 2, "var")
Config.define_float_list("list", [5., 6, "7."], "A test for list")
with Config.namespace("n1"):
Config.define_int("v1", 1, "var")
Config.define_int("v2", 2, "var")
Config.define_bool("V3", True, "turn me false")
Config.load_conf()
self.assertEqual(Config.get_var("v1"), 2)
self.assertEqual(Config.get_var("v2"), 3)
self.assertEqual(Config.get_var("n1.v1"), 2)
self.assertEqual(Config.get_var("n1.v2"), 3)
self.assertEqual(Config.get_var("n1.v3"), False)
self.assertEqual(Config.get_var("VAr"), True)
self.assertEqual(Config.get_var("list"), [1.0, 2.0, 3.0])
# For now it only keeps "detection_classes" == 1, i.e. "class"="person"
coloredlogs.install(level="DEBUG")
Config.define_str(
"model_path", "/opt/model/frozen_inference_graph.pb",
"Path of the model to load and execute, for instance"
"/opt/model/frozen_inference_graph.pb. If you're using docker-compose you shouldn't change this."
)
Config.define_str("input_dir", "",
"Path where the images to annotate are stored")
Config.define_str(
"output_dir", "",
"Path to store pre-annotations (model annotations to help human annotators)"
)
with Config.namespace("class"):
Config.define_str_list("names", [], "name of the classes to annotate")
with Config.namespace("object_detection"):
Config.define_float("threshold", 0.2,
"Discard boxes with score below this value")
Config.define_float(
"max_width", 1.0,
"Discard boxes with width upper this value because in some cases, very large detections are mostly false positives"
)
def main():
Config.load_conf()
config = Config.get_dict()
assert config["model_path"] != "", "model_path can't be empty"
assert config["input_dir"] != "", "input_dir can't be empty"
from flask import Flask, url_for, redirect, Response, jsonify
from flask_cors import CORS
import flask
from distribute_config import Config
coloredlogs.install(level='DEBUG')
Config.define_str("images_path", "static/images",
"Path where are stored the images to annotate")
Config.define_str("human_annotations_path", "static/human_annotations",
"Path where are stored human annotation")
Config.define_str("model_annotations_path", "static/model_annotations",
"Path where are stored model annotation for helping human")
with Config.namespace("class"):
Config.define_str_list("names", [], "name of the classes to annotate")
Config.define_str_list("colors", [], "colors for each classes")
Config.define_int("min_height", 0,
"Rectangle with lower height will be displayed red")
Config.define_int("min_width", 0,
"Rectangle with lower width will be displayed red")
image_provider = None
class ImageProvider:
def __init__(self):
"""class providing path of images to process
"""
# user-provided attributes