matlabbe

Results 826 comments of matlabbe

If you are using the TCP connection, the json sent contains the full path of the object file. If you store objects in sub directories, you could parse the path...

While trying to test an example, I finally updated the code with a new message topic ([find_object_2d/DetectionInfo](https://github.com/introlab/find-object/blob/master/msg/DetectionInfo.msg)), which extends the (now old) `objectsStamped` message with more info. There is a...

Hi, If find-object loaded objects from a directory of images, they have a all a unique path. That path is published when the object is detected, so by parsing the...

For https://github.com/introlab/find-object/blob/master/src/ros/tf_example_node.cpp, this is an example of usage. This example can be modified. It could subscribe to DetectionInfo message instead of [objectsStampted](https://github.com/introlab/find-object/blob/856d7f0d62c4fe5a7606a2ce6a0f5c9dd6fd80fa/src/ros/tf_example_node.cpp#L44) to have the map between ObjectId and filepath,...

The depth image is not registered to color image. With realsense cameras (not sure for L515), you should have a topic called aligned_depth_to_color, use that one for depth.

Hi, You may want to take a look at this example: https://github.com/introlab/find-object/blob/master/src/ros/tf_example_node.cpp. For an output example of this code, see the terminal screenshot here: http://wiki.ros.org/find_object_2d#A3D_position_of_the_objects You can look at this...

This "lag" is caused by the reconstruction of the vocabulary tree, see the **General/vocabularyUpdateMinWords** parameter: ![screenshot_2018-08-29_17-06-56](https://user-images.githubusercontent.com/2319645/44815647-12086780-abae-11e8-89f5-c979f71046c7.png) You can increase it to 10 000 or even 100 000 and see the...

If the latency happens always after 6,600,000 words, it could be that your computer is lacking of RAM, so that memory on the SWAP (hard drive) is used. The update...

I revised how arguments are handled when starting find-object. One problem is that changing parameters in a loaded session was not possible, so we couldn't change to a fixed vocabulary...

It is like the flann version included in OpenCV has already been updated over the past years: https://github.com/opencv/opencv/commits/master/modules/flann/include/opencv2/flann while the official flann project has too: https://github.com/mariusmuja/flann/commits/master Not sure if some...