Objects Expression recognition

This notebooks shows some preliminary work on detecting objects expressions with cvlib. It is mainly meant to explore its capabilities and to decide on future research directions. We package our code into a misinformation package that is imported here:

import misinformation
from misinformation import utils as mutils
from misinformation import display as mdisplay
import misinformation.objects as ob

Set an image path as input file path.

images = mutils.find_files(
    path="data/",
    limit=10,
)

mydict = mutils.initialize_dict(images)

Manually inspect what was detected

To check the analysis, you can inspect the analyzed elements here. Loading the results takes a moment, so please be patient. If you are sure of what you are doing.

mdisplay.explore_analysis(mydict, identify="objects")

Detect objects and directly write to csv

for key in mydict:
    mydict[key] = ob.ObjectDetector(mydict[key]).analyse_image()

Convert the dictionary of dictionarys into a dictionary with lists:

outdict = mutils.append_data_to_dict(mydict)
df = mutils.dump_df(outdict)

Check the dataframe:

df.head(10)

	filename	person	bicycle	car	motorcycle	airplane	bus	train	truck	boat	traffic light	cell phone
0	data/102730_eng.png	yes	no	no	no	no	no	no	yes	no	no	no
1	data/102141_2_eng.png	yes	no	no	no	no	no	no	no	no	no	no
2	data/106349S_por.png	yes	no	no	no	no	no	no	no	no	no	yes

Write the csv file:

df.to_csv("./data_out.csv")