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+              v69
 == **Week 5**\\
 **Camera Calibration**: The CV camera calibration library was opened. The camera needed to stop being distorted while being at a wide field view.
+**Camera Calibration**: Used the OpenCV camera calibration library to correct the fisheye camera's image distortion.
 **Machine Learning**: The neural network was being trained to detect behavioral responses from the bees and the magnetic field. PyTorch libraries were utilized to run the machine learning scripts. Accuracy indicates how well the neural network classified the videos.
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 **Accomplishments**:Fixed the issues with the cropping in the video. Manually created datasets to run. Soldered wires to the resistors, wrapped wire around the glass tubes in the bee apparatus and connected the soldered wires to the Raspberry pi. Ran the circuit and collected data on bee motion with the AC current.
 **Camera**: Two more IR lights are added in parallel for more even light distribution. The video capture code and undistortion code were combined. Used POE(Power Over Ethernet) to run power and data over 50 feet to the Raspberry Pi.
+**Camera**: Two more IR lights were soldered in parallel for more even light distribution. The video capture code and undistortion code were combined. Used POE(Power Over Ethernet) to run power and data over 50 feet to the Raspberry Pi.
 == **Week 8**\\