CODEWITHSUNDEEP
image-recognitiondlibdlib-python
NoBugs
NoBugs

Reputation: 9496

Why is dlib so slow finding an object?

I'm testing some stuff with Dlib and I selected rectangles around instances of an object I want to recognize, using the compiled tool included in tools/imglab/build/imglab. With this xml file describing a few different views of the object I want to detect I run the train object predictor with a few changes:

training_xml_path = os.path.join(faces_folder, "cooldataset.xml")
testing_xml_path = os.path.join(faces_folder, "cooldataset.xml")

and running in the images directory, makes a detector.svm.

Now I run a modified object detector for an image, it detects many of the objects it should and puts a rectangle around them, yet it takes almost 2 seconds to find them in a 1920x1080 screenshot! This is on a i5-3230M CPU @ 2.60GHz × 4 so I wonder if there is some compression or other step that I'm missing to make it go faster or work on less powerful device. This is compiled on Ubuntu from dlib-18.16 if that matters.

Upvotes: 1

Views: 2954

Answers (1)

Evgeniy
Evgeniy

Reputation: 2511

I am using Dlib's object detector for similar situation and I have 20 fps on 1920x1080 relotion with the similar processor

First of all - get latest version from github After that ensure that you have AVX support enabled (-mavx) and you are compiling optimized code (-O3 or -Ofast)

As I see - you are using Python interface for Dlib. To compile it, you should call :

python setup.py install --yes USE_AVX_INSTRUCTIONS

(follow readme.txt instruction in dlib's folder)

Upvotes: 2

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