I have searched related issues but cannot get the expected help.
I have read the FAQ documentation but cannot get the expected help.
Thank you for devlope mmserise!!
I would like to bring the official weight of the models using the vit backbone network like Dino and proceed with the detection, but I am leaving an inquiry because there is a problem.
I want to learn fast_rcn detector by taking a bit-based weight, how do I modify the backbone?
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Thank you for devlope mmserise!! I would like to bring the official weight of the models using the vit backbone network like Dino and proceed with the detection, but I am leaving an inquiry because there is a problem.
I want to learn fast_rcn detector by taking a bit-based weight, how do I modify the backbone?
When setting up the model
model settings
norm_cfg = dict(type='BN', requires_grad=False) model = dict( type='FasterRCNN', backbone=dict( type='vit', #ViT enabled arch='base', img_size=224, patch_size=16, in_channels=3, embed_dims=192, num_layers=12, num_heads=3, mlp_ratio=4, qkv_bias=True, drop_rate=0.0, attn_drop_rate=0.0, norm_layer=dict(type='LN', eps=1e-6), with_cls_token=True, with_pos_embed=True), neck=dict( type='FPN', in_channels=[192, 384, 768, 1536], out_channels=256, num_outs=5),
Then, I imported the fast_rcnn below. Is there anyone who can help me?
plus how to use official weight?? like movo1(official git)