Computer Vision Primer
Image brightness and luminance Lab — exposure, gamma and clipping
Compare linear exposure with encoded grey-value adjustments using synthetic images, histograms and gradients.
Open the experiment →Understand it by trying it.
Read the theory, change a condition, and explore what happens.
Lab / sRGB
How does exposure change an image?
- Mean relative luminance Y
- 0.165 →
- Clipped pixels
- / 19200 px
Synthetic greyscale image, assuming sRGB. Compare results computed by the existing brightness model.
Explore more conditions in the Lab- Topics
- 10
- Lab articles
- 35
- Projects
- 2
What would you like to understand?
Explore learning guides →Experiments you can run in your browser
All Labs →Control Engineering Primer
Pure Pursuit Lab — compare fixed-lookahead path tracking
Change fixed lookahead and inspect tracking error, steering and targets on a shared vehicle model.
Open the experiment →
Control Engineering Primer
Experiment with PID in Python — gains, delay and saturation
Reproduce how measurement delay, actuator limits and integral windup change PID tracking on the same second-order model.
Open the experiment →
Sensors & Hardware
Read a stationary IMU log: bias, scatter and Allan deviation
Compute mean, standard deviation and non-overlapping Allan deviation without overinterpreting a short gyro log.
Open the experiment →What we are building
View all projects →Continuously running
Home Server Platform
Design, deployment, and operation of an information platform independent of external cloud providers.
Ongoing field testing
Indoor Autonomous Robot
A differential-drive robot that uses LiDAR and a camera for self-localization, obstacle avoidance, and autonomous movement.
