# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the BSD 3-Clause License  (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from mmdet.apis import init_detector, inference_detector, show_result_pyplot, show_result_ins
import mmcv


config_file = '../configs/solo/decoupled_solo_r50_fpn_8gpu_3x.py'
# download the checkpoint from model zoo and put it in `checkpoints/`
checkpoint_file = '../checkpoints/DECOUPLED_SOLO_R50_3x.pth'

# build the model from a config file and a checkpoint file
model = init_detector(config_file, checkpoint_file, device='cuda:0')

# test a single image
img = 'demo.jpg'
result = inference_detector(model, img)

show_result_ins(img, result, model.CLASSES, score_thr=0.25, out_file="demo_out.jpg")