detectnet_network-2classes visualization problem

[cooliybob]

Hi, I use default class mappings and just change "detectnet_network-2classes.prototxt" like below:

object_class: { src: 1 dst: 0} # cars -> 0
object_class: { src: 2 dst: 1} # van -> 1

after training complete, I get a weird testing result,
Why my bbox-list-class0 color is BLUE and bbox-list-class1 color is RED.
How to fix the problem,

thanks.

[gheinrich]

What is the problem? Different colors are used for different classes.

[cooliybob]

Hi~ @gheinrich ,
Sorry for my question was unclear.
I mean bbox-list-class0(BLUE) in my result frame to van and bbox-list-class1(RED) frame to car,
but according to the mapping table, dst of car is class0 and dst of van is class1.
My result seems to opposite to the mapping table.

[gheinrich]

Thanks for the clarification. Are you sure it's not just a bad detection on the network side? Last time I tried two-class object detection the result was OK (#869 (comment)).

[ShervinAr]

@gheinrich Hello
Is there any chance you could provide your trained caffe model for car&pedestrian detection? I am using detectnet_network-2classes.prototxt as the architecture and currently short of an effective method to initialize weights for detection using DetectNet.

many thanks

[lukeyeager]

Closing this bug because Greg is probably right - this is probably just a bad detection.