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大神您好，你的研究工作对我启发很大，我的自己的数据归一化到[-0.5,0.5],每一个模型10000个点，按照PCN数据集的格式放入PoinTr网络进行训练，遇到上面的问题，我感到非常的困惑,可以帮我看看这是什么原因么？ #118

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NWFUWangChong opened this issue Jul 14, 2023 · 3 comments
Open

大神您好，你的研究工作对我启发很大，我的自己的数据归一化到[-0.5,0.5],每一个模型10000个点，按照PCN数据集的格式放入PoinTr网络进行训练，遇到上面的问题，我感到非常的困惑,可以帮我看看这是什么原因么？ #118

NWFUWangChong opened this issue Jul 14, 2023 · 3 comments

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@NWFUWangChong
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Loading gcc/7.5.0
Loading requirement: mpc/1.2.1 mpfr/4.1.0 gmp/6.2.1
Currently Loaded Modulefiles:

  1. mpc/1.2.1 3) gmp/6.2.1 5) cuda/10.2
  2. mpfr/4.1.0 4) gcc/7.5.0

Key:
=auto-loaded
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2023-07-14 10:43:05,070 - PoinTr - INFO - Copy the Config file from ./cfgs/PCN_models/PoinTr.yaml to ./experiments/PoinTr/PCN_models/example/config.yaml
2023-07-14 10:43:05,070 - PoinTr - INFO - args.config : ./cfgs/PCN_models/PoinTr.yaml
2023-07-14 10:43:05,071 - PoinTr - INFO - args.launcher : none
2023-07-14 10:43:05,071 - PoinTr - INFO - args.local_rank : 0
2023-07-14 10:43:05,071 - PoinTr - INFO - args.num_workers : 4
2023-07-14 10:43:05,071 - PoinTr - INFO - args.seed : 0
2023-07-14 10:43:05,071 - PoinTr - INFO - args.deterministic : False
2023-07-14 10:43:05,071 - PoinTr - INFO - args.sync_bn : False
2023-07-14 10:43:05,071 - PoinTr - INFO - args.exp_name : example
2023-07-14 10:43:05,071 - PoinTr - INFO - args.start_ckpts : None
2023-07-14 10:43:05,071 - PoinTr - INFO - args.ckpts : None
2023-07-14 10:43:05,071 - PoinTr - INFO - args.val_freq : 1
2023-07-14 10:43:05,071 - PoinTr - INFO - args.resume : False
2023-07-14 10:43:05,071 - PoinTr - INFO - args.test : False
2023-07-14 10:43:05,071 - PoinTr - INFO - args.mode : None
2023-07-14 10:43:05,071 - PoinTr - INFO - args.experiment_path : ./experiments/PoinTr/PCN_models/example
2023-07-14 10:43:05,071 - PoinTr - INFO - args.tfboard_path : ./experiments/PoinTr/PCN_models/TFBoard/example
2023-07-14 10:43:05,071 - PoinTr - INFO - args.log_name : PoinTr
2023-07-14 10:43:05,071 - PoinTr - INFO - args.use_gpu : True
2023-07-14 10:43:05,071 - PoinTr - INFO - args.distributed : False
2023-07-14 10:43:05,071 - PoinTr - INFO - config.optimizer = edict()
2023-07-14 10:43:05,071 - PoinTr - INFO - config.optimizer.type : AdamW
2023-07-14 10:43:05,071 - PoinTr - INFO - config.optimizer.kwargs = edict()
2023-07-14 10:43:05,071 - PoinTr - INFO - config.optimizer.kwargs.lr : 0.0005
2023-07-14 10:43:05,072 - PoinTr - INFO - config.optimizer.kwargs.weight_decay : 0.0005
2023-07-14 10:43:05,072 - PoinTr - INFO - config.scheduler = edict()
2023-07-14 10:43:05,072 - PoinTr - INFO - config.scheduler.type : LambdaLR
2023-07-14 10:43:05,072 - PoinTr - INFO - config.scheduler.kwargs = edict()
2023-07-14 10:43:05,072 - PoinTr - INFO - config.scheduler.kwargs.decay_step : 21
2023-07-14 10:43:05,072 - PoinTr - INFO - config.scheduler.kwargs.lr_decay : 0.9
2023-07-14 10:43:05,072 - PoinTr - INFO - config.scheduler.kwargs.lowest_decay : 0.02
2023-07-14 10:43:05,072 - PoinTr - INFO - config.bnmscheduler = edict()
2023-07-14 10:43:05,072 - PoinTr - INFO - config.bnmscheduler.type : Lambda
2023-07-14 10:43:05,072 - PoinTr - INFO - config.bnmscheduler.kwargs = edict()
2023-07-14 10:43:05,072 - PoinTr - INFO - config.bnmscheduler.kwargs.decay_step : 21
2023-07-14 10:43:05,072 - PoinTr - INFO - config.bnmscheduler.kwargs.bn_decay : 0.5
2023-07-14 10:43:05,072 - PoinTr - INFO - config.bnmscheduler.kwargs.bn_momentum : 0.9
2023-07-14 10:43:05,072 - PoinTr - INFO - config.bnmscheduler.kwargs.lowest_decay : 0.01
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset = edict()
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset.train = edict()
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset.train.base = edict()
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset.train.base.NAME : PCN
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset.train.base.CATEGORY_FILE_PATH : data/PCN/PCN.json
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset.train.base.N_POINTS : 16384
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset.train.base.N_RENDERINGS : 8
2023-07-14 10:43:05,072 - PoinTr - INFO - config.dataset.train.base.PARTIAL_POINTS_PATH : data/PCN/%s/partial/%s/%s/%02d.pcd
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.train.base.COMPLETE_POINTS_PATH : data/PCN/%s/complete/%s/%s.pcd
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.train.base.CARS : False
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.train.others = edict()
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.train.others.subset : train
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.train.others.bs : 4
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val = edict()
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base = edict()
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base.NAME : PCN
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base.CATEGORY_FILE_PATH : data/PCN/PCN.json
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base.N_POINTS : 16384
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base.N_RENDERINGS : 8
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base.PARTIAL_POINTS_PATH : data/PCN/%s/partial/%s/%s/%02d.pcd
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base.COMPLETE_POINTS_PATH : data/PCN/%s/complete/%s/%s.pcd
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.base.CARS : False
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.others = edict()
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.val.others.subset : test
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.test = edict()
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.test.base = edict()
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.test.base.NAME : PCN
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.test.base.CATEGORY_FILE_PATH : data/PCN/PCN.json
2023-07-14 10:43:05,073 - PoinTr - INFO - config.dataset.test.base.N_POINTS : 16384
2023-07-14 10:43:05,074 - PoinTr - INFO - config.dataset.test.base.N_RENDERINGS : 8
2023-07-14 10:43:05,074 - PoinTr - INFO - config.dataset.test.base.PARTIAL_POINTS_PATH : data/PCN/%s/partial/%s/%s/%02d.pcd
2023-07-14 10:43:05,074 - PoinTr - INFO - config.dataset.test.base.COMPLETE_POINTS_PATH : data/PCN/%s/complete/%s/%s.pcd
2023-07-14 10:43:05,074 - PoinTr - INFO - config.dataset.test.base.CARS : False
2023-07-14 10:43:05,074 - PoinTr - INFO - config.dataset.test.others = edict()
2023-07-14 10:43:05,074 - PoinTr - INFO - config.dataset.test.others.subset : test
2023-07-14 10:43:05,074 - PoinTr - INFO - config.model = edict()
2023-07-14 10:43:05,074 - PoinTr - INFO - config.model.NAME : PoinTr
2023-07-14 10:43:05,074 - PoinTr - INFO - config.model.num_pred : 14336
2023-07-14 10:43:05,074 - PoinTr - INFO - config.model.num_query : 224
2023-07-14 10:43:05,074 - PoinTr - INFO - config.model.knn_layer : 1
2023-07-14 10:43:05,074 - PoinTr - INFO - config.model.trans_dim : 384
2023-07-14 10:43:05,074 - PoinTr - INFO - config.total_bs : 4
2023-07-14 10:43:05,074 - PoinTr - INFO - config.step_per_update : 1
2023-07-14 10:43:05,074 - PoinTr - INFO - config.max_epoch : 100
2023-07-14 10:43:05,075 - PoinTr - INFO - config.consider_metric : CDL1
2023-07-14 10:43:05,075 - PoinTr - INFO - Distributed training: False
2023-07-14 10:43:05,075 - PoinTr - INFO - Set random seed to 0, deterministic: False
2023-07-14 10:43:05,083 - PCNDATASET - INFO - Collecting files of Taxonomy [ID=02691156, Name=pinetree]
2023-07-14 10:43:05,090 - PCNDATASET - INFO - Complete collecting files of the dataset. Total files: 800
2023-07-14 10:43:05,091 - PCNDATASET - INFO - Collecting files of Taxonomy [ID=02691156, Name=pinetree]
2023-07-14 10:43:05,091 - PCNDATASET - INFO - Complete collecting files of the dataset. Total files: 150
2023-07-14 10:43:05,092 - MODEL - INFO - Transformer with knn_layer 1
2023-07-14 10:43:14,830 - PoinTr - INFO - Trainable_parameters:
2023-07-14 10:43:14,831 - PoinTr - INFO - =========================
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.input_trans.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.input_trans.bias
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer1.0.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer1.1.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer1.1.bias
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer2.0.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer2.1.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer2.1.bias
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer3.0.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer3.1.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer3.1.bias
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer4.0.weight
2023-07-14 10:43:14,831 - PoinTr - INFO - base_model.grouper.layer4.1.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.grouper.layer4.1.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.pos_embed.0.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.pos_embed.0.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.pos_embed.1.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.pos_embed.1.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.pos_embed.3.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.pos_embed.3.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.input_proj.0.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.input_proj.0.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.input_proj.1.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.input_proj.1.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.input_proj.3.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.input_proj.3.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.norm1.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.norm1.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.attn.qkv.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.attn.proj.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.attn.proj.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.norm2.weight
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.norm2.bias
2023-07-14 10:43:14,832 - PoinTr - INFO - base_model.encoder.0.knn_map.0.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.0.knn_map.0.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.0.merge_map.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.0.merge_map.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.0.mlp.fc1.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.0.mlp.fc1.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.0.mlp.fc2.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.0.mlp.fc2.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.norm1.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.norm1.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.attn.qkv.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.attn.proj.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.attn.proj.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.norm2.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.norm2.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.knn_map.0.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.knn_map.0.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.merge_map.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.merge_map.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.mlp.fc1.weight
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.mlp.fc1.bias
2023-07-14 10:43:14,833 - PoinTr - INFO - base_model.encoder.1.mlp.fc2.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.1.mlp.fc2.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.norm1.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.norm1.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.attn.qkv.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.attn.proj.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.attn.proj.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.norm2.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.norm2.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.knn_map.0.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.knn_map.0.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.merge_map.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.merge_map.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.mlp.fc1.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.mlp.fc1.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.mlp.fc2.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.2.mlp.fc2.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.3.norm1.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.3.norm1.bias
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.3.attn.qkv.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.3.attn.proj.weight
2023-07-14 10:43:14,834 - PoinTr - INFO - base_model.encoder.3.attn.proj.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.norm2.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.norm2.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.knn_map.0.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.knn_map.0.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.merge_map.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.merge_map.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.mlp.fc1.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.mlp.fc1.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.mlp.fc2.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.3.mlp.fc2.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.norm1.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.norm1.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.attn.qkv.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.attn.proj.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.attn.proj.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.norm2.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.norm2.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.knn_map.0.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.knn_map.0.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.merge_map.weight
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.merge_map.bias
2023-07-14 10:43:14,835 - PoinTr - INFO - base_model.encoder.4.mlp.fc1.weight
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.4.mlp.fc1.bias
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.4.mlp.fc2.weight
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.4.mlp.fc2.bias
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.5.norm1.weight
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.5.norm1.bias
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.5.attn.qkv.weight
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.5.attn.proj.weight
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.5.attn.proj.bias
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.5.norm2.weight
2023-07-14 10:43:14,836 - PoinTr - INFO - base_model.encoder.5.norm2.bias
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2023-07-14 10:43:14,846 - PoinTr - INFO - base_model.decoder.7.self_attn.qkv.weight
2023-07-14 10:43:14,846 - PoinTr - INFO - base_model.decoder.7.self_attn.proj.weight
2023-07-14 10:43:14,846 - PoinTr - INFO - base_model.decoder.7.self_attn.proj.bias
2023-07-14 10:43:14,846 - PoinTr - INFO - base_model.decoder.7.norm_q.weight
2023-07-14 10:43:14,846 - PoinTr - INFO - base_model.decoder.7.norm_q.bias
2023-07-14 10:43:14,846 - PoinTr - INFO - base_model.decoder.7.norm_v.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.norm_v.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.attn.q_map.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.attn.k_map.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.attn.v_map.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.attn.proj.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.attn.proj.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.norm2.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.norm2.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.mlp.fc1.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.mlp.fc1.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.mlp.fc2.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.mlp.fc2.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.knn_map.0.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.knn_map.0.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.merge_map.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.merge_map.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.knn_map_cross.0.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.knn_map_cross.0.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.merge_map_cross.weight
2023-07-14 10:43:14,847 - PoinTr - INFO - base_model.decoder.7.merge_map_cross.bias
2023-07-14 10:43:14,847 - PoinTr - INFO - foldingnet.folding1.0.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.0.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.1.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.1.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.3.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.3.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.4.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.4.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.6.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding1.6.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.0.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.0.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.1.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.1.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.3.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.3.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.4.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.4.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.6.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - foldingnet.folding2.6.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - increase_dim.0.weight
2023-07-14 10:43:14,848 - PoinTr - INFO - increase_dim.0.bias
2023-07-14 10:43:14,848 - PoinTr - INFO - increase_dim.1.weight
2023-07-14 10:43:14,849 - PoinTr - INFO - increase_dim.1.bias
2023-07-14 10:43:14,849 - PoinTr - INFO - increase_dim.3.weight
2023-07-14 10:43:14,849 - PoinTr - INFO - increase_dim.3.bias
2023-07-14 10:43:14,849 - PoinTr - INFO - reduce_map.weight
2023-07-14 10:43:14,849 - PoinTr - INFO - reduce_map.bias
2023-07-14 10:43:14,849 - PoinTr - INFO - =========================
2023-07-14 10:43:14,849 - PoinTr - INFO - Untrainable_parameters:
2023-07-14 10:43:14,849 - PoinTr - INFO - =========================
2023-07-14 10:43:14,852 - PoinTr - INFO - =========================
2023-07-14 10:43:14,852 - PoinTr - INFO - Using Data parallel ...
Traceback (most recent call last):
File "main.py", line 68, in
main()
File "main.py", line 64, in main
run_net(args, config, train_writer, val_writer)
File "/home/21171213821/wc/PoinTr-master/PoinTr-master/tools/runner.py", line 93, in run_net
for idx, (taxonomy_ids, model_ids, data) in enumerate(train_dataloader):
File "/home/21171213821/.conda/envs/PF-Net/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 435, in next
data = self._next_data()
File "/home/21171213821/.conda/envs/PF-Net/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1085, in _next_data
return self._process_data(data)
File "/home/21171213821/.conda/envs/PF-Net/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1111, in _process_data
data.reraise()
File "/home/21171213821/.conda/envs/PF-Net/lib/python3.7/site-packages/torch/_utils.py", line 428, in reraise
raise self.exc_type(msg)
AssertionError: Caught AssertionError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/21171213821/.conda/envs/PF-Net/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 198, in _worker_loop
data = fetcher.fetch(index)
File "/home/21171213821/.conda/envs/PF-Net/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/21171213821/.conda/envs/PF-Net/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/21171213821/wc/PoinTr-master/PoinTr-master/datasets/PCNDataset.py", line 104, in getitem
assert data['gt'].shape[0] == self.npoints
AssertionError

大神您好，你的研究工作对我启发很大，我的自己的数据归一化到[-0.5,0.5],每一个模型10000个点，按照PCN数据集的格式放入PoinTr网络进行训练，遇到上面的问题，我感到非常的困惑,可以帮我看看这是什么原因么？
@Rogerlv51
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hello，不知道您解决没有，这个错误是因为你的data配置json文件中的npoints没有和你模型的点数对应上，也就是说GT数据的点数和模型预测出来的点数必须要一致，可以在Adapointr.yaml中设置输出点数。 @NWFUWangChong

@kanghu-bo
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按照您的意思，我可不可以理解我 GT每个点云数据的点数都是一样大的呢？ 如果GT点云数据个数不固定怎么怎么办？期待您的回复，谢谢 @Rogerlv51

@Rogerlv51
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按照您的意思，我可不可以理解我 GT每个点云数据的点数都是一样大的呢？ 如果GT点云数据个数不固定怎么怎么办？期待您的回复，谢谢 @Rogerlv51

或许可以尝试使用Open3D或者FPS最远点采样的方法先对GT数据进行下采样，统一点数即可，不会影响数据集整体质量

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@kanghu-bo @Rogerlv51 @NWFUWangChong