Closed ssysm closed 4 years ago
Somewhat off topic, but assuming you're trying to determine SkyStone position: just wanted to mention that you can create an OpenCV pipeline which examines hard-coded sample regions to determine skystone position with 100% accuracy in literally like 20 lines of code.
Yes, thanks for mentioning that out. I just want to have more options on robot vision, not just limited to skystone detection (which ML is kinda unnecessary like you just mentioned if compared with opencv), we just want to practice our ML skills.
Thanks for reporting this!
Resolved in v5.5
Currently I trained a model using a float model which can't work with current SDK(the SDK hard coded the tflite model to a quantized model). If we have use the model, the
RobotCore
library need to be dissembled and rebuild which is against the game rule. Is there any chance there will be more options to configure the TFod library?The current configurable options thought the SDK are:
available options from TFod are:
Please allow teams to configure those fields as by hard coding some of the limit their network/model choice. Thanks!