Closed WhoseAI closed 2 years ago
Hi GPUSAIOT,
Thanks for reaching out! Do you mind checking / sharing the following information
camera.observe
after the initial execution? Best, John
Hi John,
BTW, I set a "print" command here,
...................................
prob_blocked = float(y.flatten()[0])
print(prob_blocked) blocked_slider.value = prob_blocked
if prob_blocked < 0.5:
robot.forward(0.4)
........ Can see the outputs and the bar of "Blocked Rate" are all over 0.9
Hi GPUSCN,
Sorry for the late response. Is this a network that your trained yourself?
I think more latency is expected after adding the neural network execution in the loop, but it shouldn't grow over time. Is that what you're experiencing?
Best, John
I would like to add additional collision detection training to my jetbot but I am not sure how to add it to the pre-trained model. Does anyone have any advice?
Thanks, Claire
BTW, I set a "print" command here, ................................... prob_blocked = float(y.flatten()[0])
print(prob_blocked) blocked_slider.value = prob_blocked
if prob_blocked < 0.5: robot.forward(0.4)
........ Can see the outputs and the bar of "Blocked Rate" are all over 0.9
im having the same issue, do tell me how you solve it
Hi Sir,
I use pre-trained model to run Collision Avoidance sample, was successful 2 days ago. Since yesterday, my Jetbot kept circles always. I check the variable "pro_blocked" by print() it, and found the value is all bigger than "0.9". I re-flash my 128GB TF by Jetbot images several times and got same results. What's the mistake I made ? BR