@@ -51,8 +51,6 @@ This is not in particualr a problem but under extrusion is problem or fale typ t
Our next steps were to collect our own data form prints and try some domainshifting. The strategy for that is that we produce 1 fail and 2 good prints of every colour (red,green,blue and pink). This should be enough because we catch evry frame which amounts to a significant amount of data.
///usner domain shift details /////
# Code
The Code concept works as follwing:
For the 3D error detection we us CNNs combined with diffrent datasets
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@@ -66,8 +64,6 @@ We also have multipile files for training the datasets.
The final file ist [ERROR_PRINT_DETECTION.py](./ERROR_PRINT_DETECTION.py) which is the main file of hte project where we can use any of the earleir mentioned datasets to detect an error in the 3D Print
///kontrollieren///
# Octoprint integration
The printer is controlled over a rasberry pie 3b+ with octoprint installed on it https://octoprint.org/. this makes conrtolling the pretty easy. On problem is tho that recording the footage for the neural net. the way we do it that i stream the cmaera image to the octoprint browser control iamge and from there i record it with OBS on my PC. the reason for why we dont record it directly to the rasbery pie ist that the fiel sizes are to big for the small sd card also to interactwith the code and the fottage its eazier to that directly on the pc.
