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Model: TLabFineTuning/TRIP-Qwen2.5-VL-3B-Bus-LoRA Source: Original Platform
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README.md
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---
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base_model: qwen/Qwen2.5-VL-3B-Instruct
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library_name: peft
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---
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# 基于 Qwen2.5-VL-3B-Instruct 的 LoRA 头盔检测模型
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本模型是基于 Qwen2.5-VL-3B-Instruct 微调得到的 LoRA 轻量化模型，专门针对骑行人员头盔佩戴检测任务优化。
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## 模型详情
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本模型为 Qwen2.5-VL-3B-Instruct 的轻量级 LoRA 适配器，经微调后可判断图片中的骑行者是否佩戴安全头盔。
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模型支持图像+文本指令输入，仅输出以下两种结果：
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- 佩戴头盔
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- 未佩戴头盔
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- 研发团队：TLabFineTuning
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- 模型类型：多模态大模型 LoRA 适配器
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- 语言：中文
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- 开源协议：Apache 2.0
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- 基础模型：Qwen2.5-VL-3B-Instruct
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## 使用场景
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- 交通安全监测
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- 骑行人员行为分析
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- 智能安防监控
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## 模型局限性
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- 模型在清晰、无遮挡的骑行者图像上效果最佳
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- 光线不足、遮挡严重的图像会降低识别准确率
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- 模型基于少量样本训练，泛化能力有限
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## 快速使用代码
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```python
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import torch
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from peft import PeftModel
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from transformers import AutoProcessor, AutoTokenizer, Qwen2_5_VLForConditionalGeneration
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from qwen_vl_utils import process_vision_info
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from PIL import Image
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base_model_path = "qwen/Qwen2.5-VL-3B-Instruct"
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lora_model_path = "./"
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prompt = "识别图片中骑行者是否佩戴头盔，仅输出：佩戴头盔/未佩戴头盔"
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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tokenizer = AutoTokenizer.from_pretrained(base_model_path, use_fast=False, trust_remote_code=True)
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processor = AutoProcessor.from_pretrained(base_model_path, use_fast=False, trust_remote_code=True)
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base_model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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base_model_path, torch_dtype=torch.bfloat16, trust_remote_code=True
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).to(device)
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model = PeftModel.from_pretrained(base_model, lora_model_path).to(device)
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model.eval()
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def infer_helmet(image_path):
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img = Image.open(image_path).convert("RGB")
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messages = [
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{"role": "user", "content": [{"type": "image", "image": img}, {"type": "text", "text": prompt}]}
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]
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text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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image_inputs, _ = process_vision_info(messages)
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inputs = processor(text=[text], images=image_inputs, return_tensors="pt").to(device)
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with torch.no_grad():
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outputs = model.generate(**inputs, max_new_tokens=10, do_sample=False)
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result = tokenizer.decode(outputs[0], skip_special_tokens=True).split("assistant")[-1].strip()
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return result
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```
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## 训练信息
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- 学习率：1e-5
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- LoRA 秩：2
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- 模型大小：1.8MB
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- 训练设备：8GB 显存显卡
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## 模型检测效果
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### 图1：Qwen 微调结果
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<img src="https://www.modelscope.cn/models/TLabFineTuning/TRIP-Qwen2.5-VL-3B-Bus-LoRA/resolve/master/图片1.png" width="60%" alt="Qwen微调结果">
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### 图2：Qwen 识别单人图片结果
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<img src="https://www.modelscope.cn/models/TLabFineTuning/TRIP-Qwen2.5-VL-3B-Bus-LoRA/resolve/master/图片2.png" width="60%" alt="单人图片识别结果">
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### 图3：Qwen 识别多人图片结果
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<img src="https://www.modelscope.cn/models/TLabFineTuning/TRIP-Qwen2.5-VL-3B-Bus-LoRA/resolve/master/图片3.png" width="60%" alt="多人图片识别结果">
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### 图4：微调模型部署后香橙派摄像头拍照识别结果
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<img src="https://www.modelscope.cn/models/TLabFineTuning/TRIP-Qwen2.5-VL-3B-Bus-LoRA/resolve/master/图片4.png" width="60%" alt="部署后摄像头识别结果">
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### 图5：实地部署图片
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<img src="https://www.modelscope.cn/models/TLabFineTuning/TRIP-Qwen2.5-VL-3B-Bus-LoRA/resolve/master/部署.png" width="60%" alt="部署">
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## 项目团队与贡献
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### 模型研发与维护
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TRIP 项目小组
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### 核心贡献者
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谭妍、刘天赐、王思远、薛栋、张乐鑫、张媛
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### 支持单位
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东南大学交通学院
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东南大学网络与信息中心
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### 致谢
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感谢东南大学网络与信息中心提供的晟腾算力与香橙派硬件支持
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### 免责声明
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本模型仅用于科研与技术验证目的。使用者需遵守相关法律法规，并对模型输出结果的使用自行承担责任。
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chat_template.json
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}
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config.json
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generation_config.json
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"visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
|
||||
"visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
29
preprocessor_config.json
Normal file
29
preprocessor_config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"image_mean": [
|
||||
0.48145466,
|
||||
0.4578275,
|
||||
0.40821073
|
||||
],
|
||||
"image_processor_type": "Qwen2VLImageProcessor",
|
||||
"image_std": [
|
||||
0.26862954,
|
||||
0.26130258,
|
||||
0.27577711
|
||||
],
|
||||
"max_pixels": 12845056,
|
||||
"merge_size": 2,
|
||||
"min_pixels": 3136,
|
||||
"patch_size": 14,
|
||||
"processor_class": "Qwen2_5_VLProcessor",
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"size": {
|
||||
"longest_edge": 12845056,
|
||||
"shortest_edge": 3136
|
||||
},
|
||||
"temporal_patch_size": 2
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
12
train_config.json
Normal file
12
train_config.json
Normal file
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"base_model": "D:\\models\\qwen\\Qwen2___5-VL-3B-Instruct",
|
||||
"lora_r": 2,
|
||||
"lora_alpha": 4,
|
||||
"learning_rate": 1e-05,
|
||||
"max_vision_tokens": 64,
|
||||
"batch_size": 10,
|
||||
"total_samples": 135,
|
||||
"trained_samples": 136,
|
||||
"merged": true,
|
||||
"note": "此目录包含完整独立模型，无需原基础模型即可加载"
|
||||
}
|
||||
3
vocab.json
Normal file
3
vocab.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c0592c64c8ca6276a97c9c7d8c62c3336ba87131e31bd702e68ea149af42b3ed
|
||||
size 3535052
|
||||
Reference in New Issue
Block a user