How can i train mask-r-cnn model with different annotations structure?

[dariodellamura]

Hi, I'm a data science student and I'm trying to build a mask-r-cnn model.

The annotations have been provided to me with this excel structure: Name, Class, Polygon coordinates, Region_count (nth polygon in the same image).

I've converted this xlsx to csv to json. This is the json output: [ { "Name": "foto_1jpg.jpg", "Class": "tennis", "Region_count": "1", "Polygon Cordinates": "\"all_points_x\":[154,157,230,275,278,218,160,112,113,154],\"all_points_y\":[461,461,455,495,576,625,625,563,505,463]" }, { "Name": "foto_1jpg.jpg", "Class": "soccer", "Region_count": "2", "Polygon Cordinates": "\"all_points_x\":[446,557,685,795,826,815,738,628,505,422,346,331,354,443],\"all_points_y\":[230,186,212,321,411,538,641,687,684,632,525,426,331,224]" }, { "Name": "foto_2jpg.jpg", "Class": "soccer", "Region_count": "1", "Polygon Cordinates": "all_points_x:[331,403,518,626,688,734,758,681,594,484,369,314,282,274,329],\"all_points_y\":[399,340,316,342,380,463,607,736,787,796,745,683,592,503,405]" }] After this I've tried to train mask-r-cnn with this json, but my tries are failed.

How can I adapt my json file to a VIA json file structure ?Or it is better to adapt the python code to my json format ? Thanks for the attention.

[shubhs-93]

Hi. Did you figure this one out? Even I have annotation files in different format for my dataset. Would like to know how to edit the code.