The world is not enough

博客内容表达了对生活、世界和爱的感悟,提到知道如何伤害、倾听、展示等,认为世界并不完美,若足够坚强就能一起分享世界,还表达了自身复杂的感受。

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I know how 2 hurt.我知道如何去伤害。
I know how 2 hear.我知道如何去倾听。
I know what 2 show.我知道该展示什么。
And what 2 conceal.也知道该掩饰什么。
I know when 2 talk.我知道何时开口。
And I know when 2 touch.我也知道何时去接触。
No one ever die from wanting 2 much.没人会因为欲望过多而死。
But it is such a perfect place 2 start.但却有一个如此完美的开端。
The world is not enough ! 世界并不完美(并不能让人满足)!
My love ! 我亲爱的人!
And if U're strong enough.要是你足够坚强。
Together we can take the world apart.我们就能一起分享这个世界。
My love ! 我亲爱的人!
People like us.我辈中人。
Know how 2 survive.知道如何去生存。
There's no point in living.生活还有何意义?
If U can't feel the life.如果你不能感受人生。
We know when 2 kiss.我知道何时该接吻。
And we know when 2 kill.我也知道何时该去杀戮。
If we can't have it all.如果我们得不到的一切。
Then nobody will.别人也休想得到。
But it is such a perfect place 2 start.但却有一个如此完美的开端。
The world is not enough ! 世界并不完美(并不能让人满足)!
My love ! 我亲爱的人!
And if U're strong enough.要是你足够坚强。
Together we can take the world apart.我们就能一起分享这个世界。
My love ! 我亲爱的人!
I-I feel sick.我感到头晕目眩。
I-I feel scared.我感到惶恐。
I-I feel ready.我已经准备好了。
And yet unprepared.可是也还未准备充分。
But it is such a perfect place 2 start.但却有一个如此完美的开端。
The world is not enough ! 世界并不完美(并不能让人满足)!
My love ! 我亲爱的人!
And if U're strong enough.要是你足够坚强。
Together we can take the world apart.我们就能一起分享这个世界。
My love ! 我亲爱的人!
The world is not enough ! 世界并不完美(并不能让人满足)!
The world is not enough ! 世界并不完美(并不能让人满足)!
The world is not enough ! 世界并不完美(并不能让人满足)!
The world is not enough ! 世界并不完美(并不能让人满足)!

用自有数据集 YOLO-World -s 用自有 yolo格式的热成像 人脸检测 训练数据集 微调 s_stage2-4466ab94.pth的背景下, 以下是 官方微调教程 Fine-tuning YOLO-World Fine-tuning YOLO-World is easy and we provide the samples for COCO object detection as a simple guidance. Fine-tuning Requirements Fine-tuning YOLO-World is cheap: it does not require 32 GPUs for multi-node distributed training. 8 GPUs or even 1 GPU is enough. it does not require the long schedule, e.g., 300 epochs or 500 epochs for training YOLOv5 or YOLOv8. 80 epochs or fewer is enough considering that we provide the good pre-trained weights. Data Preparation The fine-tuning dataset should have the similar format as the that of the pre-training dataset. We suggest you refer to docs/data for more details about how to build the datasets: if you fine-tune YOLO-World for close-set / custom vocabulary object detection, using MultiModalDataset with a text json is preferred. if you fine-tune YOLO-World for open-vocabulary detection with rich texts or grounding tasks, using MixedGroundingDataset is preferred. Hyper-parameters and Config Please refer to the config for fine-tuning YOLO-World-L on COCO for more details. Basic config file: If the fine-tuning dataset contains mask annotations: base = ('…/…/third_party/mmyolo/configs/yolov8/yolov8_l_mask-refine_syncbn_fast_8xb16-500e_coco.py') 复制 base = (‘…/…/third_party/mmyolo/configs/yolov8/yolov8_l_mask-refine_syncbn_fast_8xb16-500e_coco.py’) python If the fine-tuning dataset doesn’t contain mask annotations: base = ('…/…/third_party/mmyolo/configs/yolov8/yolov8_l_syncbn_fast_8xb16-500e_coco.py') 复制 base = (‘…/…/third_party/mmyolo/configs/yolov8/yolov8_l_syncbn_fast_8xb16-500e_coco.py’) python Training Schemes: Reducing the epochs and adjusting the learning rate _base_.val_interval_stage2)]) 复制 _base_.val_interval_stage2)]) python Datasets: _delete_=True, type='MultiModalDataset', type='YOLOv5CocoDataset', data_r
最新发布
03-27
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