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Published 20 hours ago • verified publisher icon hustvl

how can I test a pre trained model on my custom images ?

Open kartikwar opened this issue 5 years ago • 2 comments

kartikwar avatar Nov 23 '20 10:11 kartikwar

Also tried to run on coco dataset

Got a result like this

{ "image_id":139, "category_id":62, "bbox":[ 292.0556945800781, 216.36961364746094, 61.314727783203125, 103.17518615722656 ], "score":0.9969334602355957, "segmentation":{ "size":[ 426, 640 ], "counts":"TUj3l0h;e0C=@a0NO3:F6JM3M3M3O1N1UOZEQOi:n0k0N1O1O10000001O0010O010O3M5K4L1018Ga0_O=B0NG;G9ZOk0K0N3N101N101O0000001O00SD@P;?nDMi:3UE1i:OWEAJLP;c0RE]Od;e0XD\Oj;R100001EnCYOW<`0g0@iTg3" }

I dont see any segmentation masks in this, not sure how to make sense of the segmentation object that I am getting here

kartikwar avatar Nov 23 '20 11:11 kartikwar

Hi @kartikwar you can use thedemo.py to infer your own images. BTW, you can refer to this issue #9

wondervictor avatar Nov 27 '20 08:11 wondervictor