C:\Users\TXN>CD C:// C:\>Python "C:\Program Files (x86)\Intel\openvino_2021.4.752\deployment_tools\open_model_zoo\demos\human_pose_estimation_demo\python\human_pose_estimation_demo.py" -at openpose -d CPU -i 0 -m D:\model\fall_detection_zpp\intel\human-pose-estimation-0001\FP16\human-pose-estimation-0001.xml [ INFO ] Initializing Inference Engine... [ INFO ] Loading network... [ INFO ] Reading network from IR... Traceback (most recent call last): File "C:\Program Files (x86)\Intel\openvino_2021.4.752\deployment_tools\open_model_zoo\demos\human_pose_estimation_demo\python\human_pose_estimation_demo.py", line 283, in <module> sys.exit(main() or 0) File "C:\Program Files (x86)\Intel\openvino_2021.4.752\deployment_tools\open_model_zoo\demos\human_pose_estimation_demo\python\human_pose_estimation_demo.py", line 184, in main model = get_model(ie, args, frame.shape[1] / frame.shape[0]) File "C:\Program Files (x86)\Intel\openvino_2021.4.752\deployment_tools\open_model_zoo\demos\human_pose_estimation_demo\python\human_pose_estimation_demo.py", line 111, in get_model prob_threshold=args.prob_threshold) File "C:\Program Files (x86)\Intel\openvino_2021.4.752\deployment_tools\open_model_zoo\demos\common\python\models\open_pose.py", line 62, in __init__ strides=(1, 1), name=self.pooled_heatmaps_blob_name) File "C:\Users\TXN\AppData\Local\Programs\Python\Python37\lib\site-packages\ngraph\utils\decorators.py", line 22, in wrapper node = node_factory_function(*args, **kwargs) TypeError: max_pool() missing 1 required positional argument: 'dilations'
时间: 2023-06-30 08:18:46 浏览: 57
这个错误通常是因为你调用了一个名为 `max_pool()` 的函数,但是没有给它所需要的所有参数,导致函数无法正常执行。具体来说,这个错误是因为 `max_pool()` 函数需要一个名为 `dilations` 的参数,但是你没有提供它。
根据你提供的信息,这个错误是在运行 Intel OpenVINO 的人体姿态估计演示程序时出现的。可能是由于模型文件或代码文件缺失、路径不正确等问题导致的。你可以检查一下文件路径是否正确、模型文件是否存在并已正确加载、代码是否正确,以及是否安装了必要的依赖项等。如果你无法解决这个问题,可以将相关代码和错误信息贴出来,让我来帮你分析一下。
相关问题
Burnt & Txn Savings Fees:
Burnt fees refer to the fees that are taken out of circulation and destroyed, reducing the total supply of a cryptocurrency. This is usually done to create scarcity and increase the value of the remaining tokens.
Transaction (Txn) savings fees are fees that are paid by users to miners to process their transactions on a blockchain network. These fees can vary depending on network congestion and the size of the transaction. Some blockchain networks like Bitcoin have a limited block size, which can lead to higher transaction fees during times of high demand. Other networks like Ethereum have implemented solutions like gas fees to help regulate transaction fees based on the complexity of the transaction.
Burnt & Txn Savings Fees:什么意思
Burnt fees是指去中心化应用(DApp)中的手续费,这些手续费通常使用代币支付。当代币作为手续费支付时,会被销毁或“烧掉”,因此被称为“burnt fees”。
Txn savings fees是指通过使用一些特殊的技术,如闪电网络或侧链,降低交易手续费的成本。这种技术允许用户在不使用主链的情况下进行交易,并且通常比直接在主链上交易更便宜。这些降低的手续费成本也被称为“txn savings fees”(交易节省费用)。
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