{"id":30304,"date":"2025-04-11T01:25:50","date_gmt":"2025-04-10T17:25:50","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30304"},"modified":"2025-04-11T01:25:50","modified_gmt":"2025-04-10T17:25:50","slug":"tarsier","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/tarsier\/","title":{"rendered":"Tarsier\uff1a\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u63cf\u8ff0\u7684\u5f00\u6e90\u89c6\u9891\u7406\u89e3\u6a21\u578b"},"content":{"rendered":"<p>Tarsier \u662f\u5b57\u8282\u8df3\u52a8\uff08ByteDance\uff09\u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u89c6\u9891-\u8bed\u8a00\u6a21\u578b\u5bb6\u65cf\uff0c\u4e3b\u8981\u7528\u4e8e\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u89c6\u9891\u63cf\u8ff0\u3002\u5b83\u7531\u7b80\u5355\u7684\u7ed3\u6784\u7ec4\u6210\uff1aCLIP-ViT \u5904\u7406\u89c6\u9891\u5e27\uff0c\u7ed3\u5408\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5206\u6790\u65f6\u95f4\u5173\u7cfb\u3002\u6700\u65b0\u7248\u672c Tarsier2-7B\uff082025\u5e741\u6708\u53d1\u5e03\uff09\u5728 16 \u4e2a\u516c\u5f00\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8fbe\u5230\u9876\u5c16\u6c34\u5e73\uff0c\u80fd\u4e0e GPT-4o \u7b49\u6a21\u578b\u7ade\u4e89\u3002Tarsier \u652f\u6301\u89c6\u9891\u63cf\u8ff0\u3001\u95ee\u7b54\u548c\u96f6\u6837\u672c\u5b57\u5e55\u751f\u6210\uff0c\u4ee3\u7801\u3001\u6a21\u578b\u548c\u6570\u636e\u90fd\u516c\u5f00\u5728 GitHub \u4e0a\u3002\u9879\u76ee\u8fd8\u63a8\u51fa\u4e86 DREAM-1K \u57fa\u51c6\uff0c\u7528\u4e8e\u8bc4\u4f30\u89c6\u9891\u63cf\u8ff0\u80fd\u529b\uff0c\u5305\u542b 1000 \u4e2a\u591a\u6837\u5316\u89c6\u9891\u7247\u6bb5\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" title=\"Tarsier\uff1a\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u63cf\u8ff0\u7684\u5f00\u6e90\u89c6\u9891\u7406\u89e3\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/d8c8ca752ba9c34.jpg\" alt=\"Tarsier\uff1a\u751f\u6210\u9ad8\u8d28\u91cf\u89c6\u9891\u63cf\u8ff0\u7684\u5f00\u6e90\u89c6\u9891\u7406\u89e3\u6a21\u578b-1\" width=\"830\" height=\"534\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u751f\u6210\u8be6\u7ec6\u89c6\u9891\u63cf\u8ff0\uff1a\u5206\u6790\u89c6\u9891\u5185\u5bb9\uff0c\u8f93\u51fa\u7ec6\u81f4\u6587\u5b57\u3002<\/li>\n<li>\u652f\u6301\u89c6\u9891\u95ee\u7b54\uff1a\u56de\u7b54\u89c6\u9891\u76f8\u5173\u95ee\u9898\uff0c\u6bd4\u5982\u4e8b\u4ef6\u6216\u7ec6\u8282\u3002<\/li>\n<li>\u96f6\u6837\u672c\u5b57\u5e55\u751f\u6210\uff1a\u65e0\u9700\u8bad\u7ec3\u5373\u53ef\u4e3a\u89c6\u9891\u751f\u6210\u5b57\u5e55\u3002<\/li>\n<li>\u591a\u4efb\u52a1\u89c6\u9891\u7406\u89e3\uff1a\u5728\u95ee\u7b54\u3001\u5b57\u5e55\u7b49\u591a\u9879\u4efb\u52a1\u4e2d\u8868\u73b0\u4f18\u79c0\u3002<\/li>\n<li>\u5f00\u6e90\u90e8\u7f72\uff1a\u63d0\u4f9b\u6a21\u578b\u6743\u91cd\u548c\u4ee3\u7801\uff0c\u53ef\u672c\u5730\u6216\u4e91\u7aef\u8fd0\u884c\u3002<\/li>\n<li>\u63d0\u4f9b\u8bc4\u4f30\u5de5\u5177\uff1a\u5305\u542b DREAM-1K \u6570\u636e\u96c6\u548c AutoDQ \u8bc4\u4f30\u65b9\u6cd5\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>Tarsier \u9002\u5408\u6709\u6280\u672f\u80cc\u666f\u7684\u7528\u6237\uff0c\u6bd4\u5982\u5f00\u53d1\u8005\u6216\u7814\u7a76\u4eba\u5458\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u5b89\u88c5\u548c\u4f7f\u7528\u6307\u5357\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u51c6\u5907\u73af\u5883<\/strong><br \/>\n\u9700\u8981 Python 3.9 \u6216\u66f4\u9ad8\u7248\u672c\u3002\u5efa\u8bae\u7528\u865a\u62df\u73af\u5883\uff1a<\/li>\n<\/ol>\n<pre><code>conda create -n tarsier python=3.9\r\nconda activate tarsier\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong><br \/>\n\u4e0b\u8f7d Tarsier \u9879\u76ee\u4ee3\u7801\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/bytedance\/tarsier.git\r\ncd tarsier\r\ngit checkout tarsier2\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u8fd0\u884c\u5b89\u88c5\u811a\u672c\uff1a<\/li>\n<\/ol>\n<pre><code>bash setup.sh\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u5b89\u88c5\u6240\u6709\u5fc5\u9700\u5e93\uff0c\u5982 PyTorch \u548c Hugging Face \u7684\u5de5\u5177\u3002<\/p>\n<ol start=\"4\">\n<li><strong>GPU \u652f\u6301\uff08\u53ef\u9009\uff09<\/strong><br \/>\n\u5982\u679c\u6709 NVIDIA GPU\uff0c\u5b89\u88c5\u5e26 CUDA \u7684 PyTorch\uff1a<\/li>\n<\/ol>\n<pre><code>pip install torch torchvision --index-url https:\/\/download.pytorch.org\/whl\/cu118\r\n<\/code><\/pre>\n<ol start=\"5\">\n<li><strong>\u4e0b\u8f7d\u6a21\u578b<\/strong><br \/>\n\u4ece Hugging Face \u4e0b\u8f7d\u6a21\u578b\uff0c\u4f8b\u5982 Tarsier2-7B\uff1a<\/li>\n<\/ol>\n<pre><code>huggingface-cli download omni-research\/Tarsier2-7b\r\n<\/code><\/pre>\n<p>\u5176\u4ed6\u6a21\u578b\u5982 Tarsier-34b \u6216 Tarsier2-Recap-7b \u4e5f\u53ef\u4ece\u5b98\u65b9\u94fe\u63a5\u83b7\u53d6\u3002<\/p>\n<ol start=\"6\">\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u5feb\u901f\u6d4b\u8bd5\u811a\u672c\uff1a<\/li>\n<\/ol>\n<pre><code>python3 -m tasks.inference_quick_start --model_name_or_path path\/to\/Tarsier2-7b --input_path assets\/videos\/coffee.gif\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u5e94\u4e3a\u89c6\u9891\u63cf\u8ff0\uff0c\u5982\u201c\u4e00\u4e2a\u4eba\u62ff\u8d77\u6709\u5fc3\u5f62\u6ce1\u6cab\u7684\u5496\u5561\u676f\u559d\u4e86\u4e00\u53e3\u201d\u3002<\/p>\n<h3>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>\u751f\u6210\u89c6\u9891\u63cf\u8ff0<\/h4>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u51c6\u5907\u89c6\u9891\u6587\u4ef6\uff08\u652f\u6301 MP4\u3001GIF \u7b49\u683c\u5f0f\uff09\u3002<\/li>\n<li>\u8fd0\u884c\u547d\u4ee4\uff1a<\/li>\n<\/ol>\n<pre><code>python3 -m tasks.inference_quick_start --model_name_or_path path\/to\/Tarsier2-7b --instruction \"Describe the video in detail.\" --input_path your\/video.mp4\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u8f93\u51fa\u4f1a\u5728\u7ec8\u7aef\u663e\u793a\uff0c\u4f8b\u5982\u63cf\u8ff0\u89c6\u9891\u4e2d\u7684\u52a8\u4f5c\u548c\u573a\u666f\u3002<\/li>\n<\/ol>\n<ul>\n<li><strong>\u6ce8\u610f<\/strong><\/li>\n<li>\u89c6\u9891\u8fc7\u957f\u53ef\u80fd\u9700\u8981\u66f4\u591a\u5185\u5b58\uff0c\u5efa\u8bae\u5148\u7528\u77ed\u89c6\u9891\u6d4b\u8bd5\u3002<\/li>\n<li>\u53ef\u8c03\u6574\u53c2\u6570\u5982\u5e27\u7387\uff08\u89c1\u00a0<code>configs\/tarser2_default_config.yaml<\/code>\uff09\u3002<\/li>\n<\/ul>\n<h4>\u89c6\u9891\u95ee\u7b54<\/h4>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u6307\u5b9a\u95ee\u9898\u548c\u89c6\u9891\uff1a<\/li>\n<\/ol>\n<pre><code>python3 -m tasks.inference_quick_start --model_name_or_path path\/to\/Tarsier2-7b --instruction \"\u89c6\u9891\u91cc\u7684\u4eba\u5728\u505a\u4ec0\u4e48\uff1f\" --input_path your\/video.mp4\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u8f93\u51fa\u76f4\u63a5\u56de\u7b54\uff0c\u4f8b\u5982\u201c\u4ed6\u5728\u559d\u5496\u5561\u201d\u3002<\/li>\n<\/ol>\n<ul>\n<li><strong>\u63d0\u793a<\/strong><\/li>\n<li>\u95ee\u9898\u8981\u5177\u4f53\uff0c\u907f\u514d\u6a21\u7cca\u3002<\/li>\n<li>\u652f\u6301\u4e2d\u6587\u548c\u5176\u4ed6\u8bed\u8a00\uff0c\u4e2d\u6587\u6548\u679c\u6700\u4f73\u3002<\/li>\n<\/ul>\n<h4>\u96f6\u6837\u672c\u5b57\u5e55\u751f\u6210<\/h4>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u4fee\u6539\u914d\u7f6e\u6587\u4ef6\u542f\u7528\u5b57\u5e55\u6a21\u5f0f\uff08<code>configs\/tarser2_default_config.yaml<\/code>\u00a0\u4e2d\u8bbe\u7f6e\u00a0<code>task: caption<\/code>\uff09\u3002<\/li>\n<li>\u8fd0\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>python3 -m tasks.inference_quick_start --model_name_or_path path\/to\/Tarsier2-7b --config configs\/tarser2_default_config.yaml --input_path your\/video.mp4\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u8f93\u51fa\u7b80\u77ed\u5b57\u5e55\uff0c\u5982\u201c\u4e00\u4e2a\u4eba\u559d\u5496\u5561\u201d\u3002<\/li>\n<\/ol>\n<h4>\u672c\u5730\u670d\u52a1\u90e8\u7f72<\/h4>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u5b89\u88c5 vLLM\uff08\u63a8\u8350\u7248\u672c 0.6.6\uff09\uff1a<\/li>\n<\/ol>\n<pre><code>pip install vllm==0.6.6\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u542f\u52a8\u670d\u52a1\uff1a<\/li>\n<\/ol>\n<pre><code>python -m <a href=\"https:\/\/www.kdjingpai.com\/de\/vllm\/\">vllm<\/a>.entrypoints.openai.api_server --model path\/to\/Tarsier2-7b\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u7528 API \u8c03\u7528\uff1a<\/li>\n<\/ol>\n<pre><code>curl http:\/\/localhost:8000\/v1\/completions -H \"Content-Type: application\/json\" -d '{\"prompt\": \"\u63cf\u8ff0\u8fd9\u4e2a\u89c6\u9891\", \"video_path\": \"your\/video.mp4\"}'\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u4f18\u70b9<\/strong><\/li>\n<li>\u53ef\u6279\u91cf\u5904\u7406\u89c6\u9891\u3002<\/li>\n<li>\u65b9\u4fbf\u96c6\u6210\u5230\u5176\u4ed6\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>DREAM-1K \u8bc4\u4f30<\/h4>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u4e0b\u8f7d DREAM-1K \u6570\u636e\u96c6\uff1a<\/li>\n<\/ol>\n<pre><code>wget https:\/\/tarsier-vlm.github.io\/DREAM-1K.zip\r\nunzip DREAM-1K.zip\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u8fd0\u884c\u8bc4\u4f30\uff1a<\/li>\n<\/ol>\n<pre><code>bash scripts\/run_inference_benchmark.sh path\/to\/Tarsier2-7b output_dir dream\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u8f93\u51fa\u7ed3\u679c\u5305\u62ec F1 \u5206\u6570\u7b49\u6307\u6807\uff0c\u663e\u793a\u63cf\u8ff0\u8d28\u91cf\u3002<\/li>\n<\/ol>\n<h4>AutoDQ \u8bc4\u4f30<\/h4>\n<ul>\n<li><strong>\u6b65\u9aa4<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u786e\u4fdd\u5b89\u88c5 <a href=\"https:\/\/www.kdjingpai.com\/de\/chatgpt-6\/\">ChatGPT<\/a> \u4f9d\u8d56\uff08\u9700 Azure OpenAI \u914d\u7f6e\uff09\u3002<\/li>\n<li>\u8fd0\u884c\u8bc4\u4f30\u811a\u672c\uff1a<\/li>\n<\/ol>\n<pre><code>python evaluation\/metrics\/evaluate_dream_gpt.py --pred_dir output_dir\/dream_predictions\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u8f93\u51fa\u81ea\u52a8\u8bc4\u4f30\u5f97\u5206\uff0c\u8861\u91cf\u63cf\u8ff0\u51c6\u786e\u6027\u3002<\/li>\n<\/ol>\n<h3>\u5e38\u89c1\u95ee\u9898\u89e3\u51b3<\/h3>\n<ul>\n<li><strong>\u5b89\u88c5\u5931\u8d25<\/strong>\uff1a\u68c0\u67e5 Python \u7248\u672c\u548c\u7f51\u7edc\uff0c\u5347\u7ea7 pip\uff08<code>pip install -U pip<\/code>\uff09\u3002<\/li>\n<li><strong>\u6a21\u578b\u52a0\u8f7d\u6162<\/strong>\uff1a\u786e\u8ba4\u78c1\u76d8\u7a7a\u95f4\u8db3\u591f\uff0c\u5efa\u8bae\u81f3\u5c11 50GB\u3002<\/li>\n<li><strong>\u65e0 GPU \u8f93\u51fa<\/strong>\uff1a\u8fd0\u884c\u00a0<code>nvidia-smi<\/code>\u00a0\u68c0\u67e5 CUDA \u662f\u5426\u6b63\u5e38\u3002<\/li>\n<\/ul>\n<h3>\u5728\u7ebf\u4f53\u9a8c<\/h3>\n<ul>\n<li>\u8bbf\u95ee\u00a0<a href=\"https:\/\/huggingface.co\/spaces\/omni-research\/Tarsier2-7b\">Tarsier2-7B \u5728\u7ebf\u6f14\u793a<\/a>\uff0c\u4e0a\u4f20\u89c6\u9891\u5373\u53ef\u6d4b\u8bd5\u63cf\u8ff0\u548c\u95ee\u7b54\u529f\u80fd\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u4f7f\u7528 Tarsier \u5904\u7406\u89c6\u9891\u4efb\u52a1\u3002\u65e0\u8bba\u662f\u751f\u6210\u63cf\u8ff0\u8fd8\u662f\u90e8\u7f72\u670d\u52a1\uff0c\u5b83\u90fd\u7b80\u5355\u9ad8\u6548\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u89c6\u9891\u5185\u5bb9\u6574\u7406<\/strong><br \/>\n\u5a92\u4f53\u5de5\u4f5c\u8005\u53ef\u4ee5\u7528 Tarsier \u751f\u6210\u89c6\u9891\u6458\u8981\uff0c\u5feb\u901f\u6574\u7406\u7d20\u6750\u3002<\/li>\n<li><strong>\u6559\u80b2\u89c6\u9891\u8f85\u52a9<\/strong><br \/>\n\u6559\u5e08\u80fd\u4e3a\u8bfe\u7a0b\u89c6\u9891\u751f\u6210\u5b57\u5e55\u6216\u95ee\u7b54\uff0c\u63d0\u5347\u6559\u5b66\u6548\u679c\u3002<\/li>\n<li><strong>\u77ed\u89c6\u9891\u5206\u6790<\/strong><br \/>\n\u8425\u9500\u4eba\u5458\u53ef\u5206\u6790 TikTok \u7b49\u77ed\u89c6\u9891\u5185\u5bb9\uff0c\u63d0\u53d6\u5173\u952e\u4fe1\u606f\u7528\u4e8e\u63a8\u5e7f\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>\u652f\u6301\u54ea\u4e9b\u89c6\u9891\u683c\u5f0f\uff1f<\/strong><br \/>\n\u652f\u6301 MP4\u3001GIF\u3001AVI \u7b49\uff0c\u53ea\u8981 FFmpeg \u80fd\u89e3\u7801\u5373\u53ef\u3002<\/li>\n<li><strong>\u786c\u4ef6\u8981\u6c42\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>\n\u6700\u4f4e 16GB \u5185\u5b58\u548c 4GB \u663e\u5b58\uff0c\u63a8\u8350 NVIDIA GPU\uff08\u5982 3090\uff09\u3002<\/li>\n<li><strong>\u53ef\u4ee5\u5546\u7528\u5417\uff1f<\/strong><br \/>\n\u662f\u7684\uff0cTarsier \u4f7f\u7528 Apache 2.0 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