Skip to content

_IncompatibleKeys failure loading weights. #23

@samraul

Description

@samraul

Hi,

Thank you for sharing the code and weights. I am trying to load the surface normal estimator using the config and weights linked in https://github.com/SysCV/idisc?tab=readme-ov-file#normals:

import json
from idisc.models.idisc import IDisc

NORMALS_CONFIG_FILE = "models/nyunorm_swinl.json"
NORMALS_MODEL = "models/nyunormals_swinlarge.pt"
with open(NORMALS_CONFIG_FILE, "r") as f:
    config = json.load(f)

model = IDisc.build(config=config)
model.load_pretrained(NORMALS_MODEL)

-> Encoder is pretrained from: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22k.pth Loading pretrained info: _IncompatibleKeys(missing_keys=['norm0.weight', 'norm0.bias', 'norm1.weight', 'norm1.bias', 'norm2.weight', 'norm2.bias', 'norm3.weight', 'norm3.bias'], unexpected_keys=['norm.weight', 'norm.bias', 'head.weight', 'head.bias', 'layers.0.blocks.1.attn_mask', 'layers.1.blocks.1.attn_mask', 'layers.2.blocks.1.attn_mask', 'layers.2.blocks.3.attn_mask', 'layers.2.blocks.5.attn_mask', 'layers.2.blocks.7.attn_mask', 'layers.2.blocks.9.attn_mask', 'layers.2.blocks.11.attn_mask', 'layers.2.blocks.13.attn_mask', 'layers.2.blocks.15.attn_mask', 'layers.2.blocks.17.attn_mask'])

It also happens with Swin-Large for NYU2 Depth Estimation.
Am I missing something?

Thank you.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type
    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions