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<p>Combine different components: <a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Fruhstuck_InsetGAN_for_Full-Body_Image_Generation_CVPR_2022_paper.pdf" target="_blank" rel="noopener">[1]</a> <a href="https://arxiv.org/pdf/2404.15267" target="_blank" rel="noopener">[2]</a></p>
<h4 id="References"><a href="#References" class="headerlink" title="References"></a>References</h4><ol>
<li><p>Frühstück, Anna, et al. “Insetgan for full-body image generation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.</p>
</li>
<li><p>Huang, Zehuan, et al. “From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation.” arXiv preprint arXiv:2404.15267 (2024).</p>
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<p>The first paper: <a href="https://www.cs.toronto.edu/~hinton/absps/jjnh91.pdf" target="_blank" rel="noopener">[1]</a></p>
<p>SwitchTransformer: <a href="https://arxiv.org/pdf/1701.06538" target="_blank" rel="noopener">[2]</a></p>
<h4 id="Reference"><a href="#Reference" class="headerlink" title="Reference"></a>Reference</h4>
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<h2 id="When-server-is-Linux-client-is-Windows-using-Python"><a href="#When-server-is-Linux-client-is-Windows-using-Python" class="headerlink" title="When server is Linux, client is Windows, using Python."></a>When server is Linux, client is Windows, using Python.</h2><h3 id="In-the-python-file"><a href="#In-the-python-file" class="headerlink" title="In the python file:"></a>In the python file:</h3><p>add the following code<br><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> pydevd</span><br><span class="line">pydevd.settrace(<span class="string">'202.120.38.30'</span>, port=<span class="number">5678</span>)</span><br></pre></td></tr></table></figure></p>
<p>in which the IP address is the Windows IP and the port is the default Eclipse debugger port.</p>
<h3 id="Under-Linux"><a href="#Under-Linux" class="headerlink" title="Under Linux:"></a>Under Linux:</h3><ol>
<li><code>pip install pydevd</code></li>
<li>In the file <code>lib/python2.7/site-packages/pydevd_file_utils.py</code>, modify <code>PATHS_FROM_ECLIPSE_TO_PYTHON = [(r'L:\test', r'/home/niuli/test')]</code>, in which the former is Windows path and the latter is Linux path.</li>
</ol>
<h3 id="Under-Windows"><a href="#Under-Windows" class="headerlink" title="Under Windows:"></a>Under Windows:</h3><ol>
<li>Install Eclipse IDE and PyDev plugin for Eclipse.</li>
<li>Pydev->Start Debug Server</li>
<li>Open the Debug perspective and watch Debug Server.</li>
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<p>After the above preparation, run python code under Linux and the debugging process will jump to the debug server under Windows. For interactive debugging, open PyDev Debug Console.</p>
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<p>arXiv: <a href="http://xxx.itp.ac.cn/......pdf" target="_blank" rel="noopener">http://xxx.itp.ac.cn/......pdf</a></p>
<p>hugging face: <a href="https://hf-mirror.com" target="_blank" rel="noopener">https://hf-mirror.com</a></p>
<pre><code>export HF_ENDPOINT=https://hf-mirror.com
from huggingface_hub import snapshot_download
snapshot_download(repo_id='Qwen/Qwen-7B',
repo_type='model',
local_dir='./model_dir',
resume_download=True)
</code></pre><p>modelscope: <a href="https://modelscope.cn/home" target="_blank" rel="noopener">https://modelscope.cn/home</a></p>
<pre><code>from modelscope.hub.snapshot_download import snapshot_download
model_dir = snapshot_download('qwen/Qwen-7B',
cache_dir='./model_dir',
revision='master')
</code></pre>
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<a class="post-title-link" href="/2024/01/03/classification_detection_segmentation/Line Detection/" itemprop="url">Line Detection</a></h1>
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<p>[1] <a href="https://arxiv.org/abs/2106.00186" target="_blank" rel="noopener">MLSD</a></p>
<h4 id="Reference"><a href="#Reference" class="headerlink" title="Reference"></a>Reference</h4><p>[1] Gu, Geonmo, et al. “Towards light-weight and real-time line segment detection.” Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 36. No. 1. 2022.</p>
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