AMMICO/misinformation/objects_cvlib.py
xiaohemaikoo fdcb228294
M objdect (#23)
* colors expression by KMean algorithm

* object detection by imageai

* object detection by cvlib

* add encapsulation of object detection

* remove encapsulation of objdetect v0

* objects expression to dict

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* added imageai to requirements

* add objects to dictionary

* update for AnalysisMethod baseline

* add objects dection support explore_analysis display

* extend python version of misinf to allow imageai

* account for older python

* use global functionality for dict to csv convert

* update for docker build

* docker will build now but ipywidgets still not working

* test code

* include test data folder in repo

* add some sample images

* load cvs labels to dict

* add test data

* retrigger checks

* add map to human coding

* get orders from dict, missing dep

* add module to test accuracy

* retrigger checks

* retrigger checks

* now removing imageai

* removed imageai

* move labelmanager to analyse

* multiple faces in mydict

* fix pre-commit issues

* map mydict

* hide imageai

* objects default using cvlib, isolate and disable imageai

* correct python version

* refactor faces tests

* refactor objects tests

* sonarcloud issues

* refactor utils tests

* address code smells

* update readme

* update notebook without imageai

Co-authored-by: Ma Xianghe <825074348@qq.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: iulusoy <inga.ulusoy@uni-heidelberg.de>
2022-10-04 11:34:44 +02:00

78 строки
1.9 KiB
Python

import cv2
import cvlib as cv
def objects_from_cvlib(objects_list: list) -> dict:
objects = init_default_objects()
for key in objects:
if key in objects_list:
objects[key] = "yes"
return objects
def init_default_objects():
objects = {
"person": "no",
"bicycle": "no",
"car": "no",
"motorcycle": "no",
"airplane": "no",
"bus": "no",
"train": "no",
"truck": "no",
"boat": "no",
"traffic light": "no",
"cell phone": "no",
}
return objects
class ObjectsMethod:
"""Base class to be inherited by all objects methods."""
def __init__(self):
# initialize in child class
pass
def analyse_image(self, subdict):
raise NotImplementedError()
class ObjectCVLib(ObjectsMethod):
def __init__(self, client_type=1):
# as long as imageai is not activated this remains empty
pass
def detect_objects_cvlib(self, image_path):
"""Localize objects in the local image.
Args:
image_path: The path to the local file.
"""
img = cv2.imread(image_path)
bbox, label, conf = cv.detect_common_objects(img)
# output_image = draw_bbox(im, bbox, label, conf)
objects = objects_from_cvlib(label)
return objects
def analyse_image_from_file(self, image_path):
"""Localize objects in the local image.
Args:
image_path: The path to the local file.
"""
objects = self.detect_objects_cvlib(image_path)
return objects
def analyse_image(self, subdict):
"""Localize objects in the local image.
Args:
subdict: The dictionary for an image expression instance.
"""
objects = self.analyse_image_from_file(subdict["filename"])
for key in objects:
subdict[key] = objects[key]
return subdict