tianyili2017 / HEVC-Complexity-Reduction

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.
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运行HM-16.5_Test_AI\bulid工程出现的问题 #14

Open zhoushuairan opened 5 years ago

zhoushuairan commented 5 years ago

您好,博主 看到您发表的论文之后,决定复现一下具体结果,但是在这过程中遇到一些问题,研究了好久也没弄明白究竟哪里出了错,具体的信息如下,我电脑使用相关软件和配置为vs2015 tensorflow1.10 python3.5我在运行HM-16.5_Test_AI\bulid时候 ,不能出现编码信息。具体运行情况如下:

`Tensor("Conv2D:0", shape=(?, 1, 1, 1), dtype=float32) Tensor("ResizeNearestNeighbor:0", shape=(?, 16, 16, 1), dtype=float32) Tensor("LeakyRelu:0", shape=(?, 4, 4, 16), dtype=float32) Tensor("LeakyRelu_1:0", shape=(?, 2, 2, 24), dtype=float32) Tensor("LeakyRelu_2:0", shape=(?, 1, 1, 32), dtype=float32) Tensor("Conv2D_4:0", shape=(?, 2, 2, 1), dtype=float32) Tensor("ResizeNearestNeighbor_1:0", shape=(?, 32, 32, 1), dtype=float32) Tensor("LeakyRelu_3:0", shape=(?, 8, 8, 16), dtype=float32) Tensor("LeakyRelu_4:0", shape=(?, 4, 4, 24), dtype=float32) Tensor("LeakyRelu_5:0", shape=(?, 2, 2, 32), dtype=float32) Tensor("Conv2D_8:0", shape=(?, 4, 4, 1), dtype=float32) Tensor("ResizeNearestNeighbor_2:0", shape=(?, 64, 64, 1), dtype=float32) Tensor("LeakyRelu_6:0", shape=(?, 16, 16, 16), dtype=float32) Tensor("LeakyRelu_7:0", shape=(?, 8, 8, 24), dtype=float32) Tensor("LeakyRelu_8:0", shape=(?, 4, 4, 32), dtype=float32) Tensor("concat:0", shape=(?, 2688), dtype=float32) Tensor("cond/Merge:0", shape=(?, 64), dtype=float32) Tensor("cond_1/Merge:0", shape=(?, 48), dtype=float32) Tensor("cond_2/Merge:0", shape=(?, 1), dtype=float32) Tensor("cond_3/Merge:0", shape=(?, 128), dtype=float32) Tensor("cond_4/Merge:0", shape=(?, 96), dtype=float32) Tensor("cond_5/Merge:0", shape=(?, 4), dtype=float32) Tensor("cond_7/Merge:0", shape=(?, 256), dtype=float32) Tensor("cond_8/Merge:0", shape=(?, 192), dtype=float32) Tensor("cond_9/Merge:0", shape=(?, 16), dtype=float32)

D:\HM\HM-16.5_Test_AI\bin\vc10\x64\Release\BasketballPass_416x240_50.yuv frame 501/501 416x240 Predicting Time : 7.986 sec.`

HM software: Encoder Version [16.5] (including RExt)[Windows][VS 1900][64 bit]

python video_to_cu_depth.py D:\HM\HM-16.5_Test_AI\bin\vc10\x64\Release\BasketballPass_416x240_50.yuv 416 240 32

Input File : D:\HM\HM-16.5_Test_AI\bin\vc10\x64\Release\BasketballPass_416x240_50.yuv Bitstream File : str.bin Reconstruction File : rec.yuv Real Format : 416x240 50Hz Internal Format : 416x240 50Hz Sequence PSNR output : Linear average only Sequence MSE output : Disabled Frame MSE output : Disabled Cabac-zero-word-padding : Enabled Frame/Field : Frame based coding Frame index : 0 - 99 (100 frames) Profile : main CU size / depth / total-depth : 64 / 4 / 4 RQT trans. size (min / max) : 4 / 32 Max RQT depth inter : 3 Max RQT depth intra : 3 Min PCM size : 8 Motion search range : 64 Intra period : 1 Decoding refresh type : 0 QP : 32.00 Max dQP signaling depth : 0 Cb QP Offset : 0 Cr QP Offset : 0 QP adaptation : 0 (range=0) GOP size : 1 Input bit depth : (Y:8, C:8) MSB-extended bit depth : (Y:8, C:8) Internal bit depth : (Y:8, C:8) PCM sample bit depth : (Y:8, C:8) Intra reference smoothing : Enabled diff_cu_chroma_qp_offset_depth : -1 extended_precision_processing_flag : Disabled implicit_rdpcm_enabled_flag : Disabled explicit_rdpcm_enabled_flag : Disabled transform_skip_rotation_enabled_flag : Disabled transform_skip_context_enabled_flag : Disabled cross_component_prediction_enabled_flag: Disabled high_precision_offsets_enabled_flag : Disabled persistent_rice_adaptation_enabled_flag: Disabled cabac_bypass_alignment_enabled_flag : Disabled log2_sao_offset_scale_luma : 0 log2_sao_offset_scale_chroma : 0 Cost function: : Lossy coding (default) RateControl : 0 Max Num Merge Candidates : 5

TOOL CFG: IBD:0 HAD:1 RDQ:1 RDQTS:1 RDpenalty:0 SQP:0 ASR:0 FEN:1 ECU:0 FDM:1 CFM:0 ESD:0 RQT:1 TransformSkip:1 TransformSkipFast:1 TransformSkipLog2MaxSize:2 Slice: M=0 SliceSegment: M=0 CIP:0 SAO:1 PCM:0 TransQuantBypassEnabled:0 WPP:0 WPB:0 PME:2 WaveFrontSynchro:0 WaveFrontSubstreams:1 ScalingList:0 TMVPMode:1 AQpS:0 SignBitHidingFlag:1 RecalQP:0

Non-environment-variable-controlled macros set as follows:

                        RExt__DECODER_DEBUG_BIT_STATISTICS =   0
                              RExt__HIGH_BIT_DEPTH_SUPPORT =   0
                    RExt__HIGH_PRECISION_FORWARD_TRANSFORM =   0
                                O0043_BEST_EFFORT_DECODING =   0

           Input ChromaFormatIDC =   4:2:0

Output (internal) ChromaFormatIDC = 4:2:0 请按任意键继续 ` 于是我单独运行D:\HM\HM-16.5_Test_AI\bin下文件video_to_cu_depth.py文件 出现 Tensor("Conv2D:0", shape=(?, 1, 1, 1), dtype=float32) Tensor("ResizeNearestNeighbor:0", shape=(?, 16, 16, 1), dtype=float32) Tensor("LeakyRelu:0", shape=(?, 4, 4, 16), dtype=float32) Tensor("LeakyRelu_1:0", shape=(?, 2, 2, 24), dtype=float32) Tensor("LeakyRelu_2:0", shape=(?, 1, 1, 32), dtype=float32) Tensor("Conv2D_4:0", shape=(?, 2, 2, 1), dtype=float32) Tensor("ResizeNearestNeighbor_1:0", shape=(?, 32, 32, 1), dtype=float32) Tensor("LeakyRelu_3:0", shape=(?, 8, 8, 16), dtype=float32) Tensor("LeakyRelu_4:0", shape=(?, 4, 4, 24), dtype=float32) Tensor("LeakyRelu_5:0", shape=(?, 2, 2, 32), dtype=float32) Tensor("Conv2D_8:0", shape=(?, 4, 4, 1), dtype=float32) Tensor("ResizeNearestNeighbor_2:0", shape=(?, 64, 64, 1), dtype=float32) Tensor("LeakyRelu_6:0", shape=(?, 16, 16, 16), dtype=float32) Tensor("LeakyRelu_7:0", shape=(?, 8, 8, 24), dtype=float32) Tensor("LeakyRelu_8:0", shape=(?, 4, 4, 32), dtype=float32) Tensor("concat:0", shape=(?, 2688), dtype=float32) Tensor("cond/Merge:0", shape=(?, 64), dtype=float32) Tensor("cond_1/Merge:0", shape=(?, 48), dtype=float32) Tensor("cond_2/Merge:0", shape=(?, 1), dtype=float32) Tensor("cond_3/Merge:0", shape=(?, 128), dtype=float32) Tensor("cond_4/Merge:0", shape=(?, 96), dtype=float32) Tensor("cond_5/Merge:0", shape=(?, 4), dtype=float32) Tensor("cond_7/Merge:0", shape=(?, 256), dtype=float32) Tensor("cond_8/Merge:0", shape=(?, 192), dtype=float32) Tensor("cond_9/Merge:0", shape=(?, 16), dtype=float32) File"video_to_cu_depth.py",line 120,in assert len(sys.argv)==5 AssertionError 请问是为什么呢???如果你能回答 很感谢!

m10507412 commented 5 years ago

上面tensor那些我猜應該是版本問題問你要不要更新吧! assert len(sys.argv)==5 他要五個參數,不是五個就會錯誤

zhoushuairan commented 5 years ago

嗯嗯 谢谢了 前一段时间 我已经把版本换了,并且成功运行了😄😄

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在2019年09月19日 18:10,m10507412 写道: 上面tensor那些我猜應該是版本問題問你要不要更新吧! assert len(sys.argv)==5 他要五個參數,不是五個就會錯誤

—You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or mute the thread. [ { "@context": "http://schema.org", "@type": "EmailMessage", "potentialAction": { "@type": "ViewAction", "target": "https://github.com/tianyili2017/HEVC-Complexity-Reduction/issues/14?email_source=notifications\u0026email_token=ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issuecomment-533063576",

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m10507412 commented 5 years ago

https://blog.csdn.net/pengyouyou/article/details/88750832 請問你這篇能試成功嗎?

zhoushuairan notifications@github.com 於 2019年9月20日 週五 下午1:59寫道:

嗯嗯 谢谢了 前一段时间 我已经把版本换了,并且成功运行了😄😄

993649060

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在2019年09月19日 18:10,m10507412 写道: 上面tensor那些我猜應該是版本問題問你要不要更新吧! assert len(sys.argv)==5 他要五個參數,不是五個就會錯誤

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zhoushuairan commented 5 years ago
        你好,大神!我在IEEE上还关注了你另一篇文章A DEEP CONVOLUTIONAL NEURAL NETWORK APPROACH FOR COMPLEXITY REDUCTION ON INTRA-MODE HEVC 请问有可能把代码发来学习下吗?谢谢了🙏

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        在2019年09月19日 18:10,m10507412 写道: 上面tensor那些我猜應該是版本問題問你要不要更新吧!

assert len(sys.argv)==5

他要五個參數,不是五個就會錯誤

—You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or mute the thread.

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AlexSun0110 commented 4 years ago

嗯嗯 谢谢了 前一段时间 我已经把版本换了,并且成功运行了😄😄

                        993649060

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在2019年09月19日 18:10,m10507412 写道: 上面tensor那些我猜應該是版本問題問你要不要更新吧! assert len(sys.argv)==5 他要五個參數,不是五個就會錯誤

—You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or mute the thread. [ { "@context": "http://schema.org", "@type": "EmailMessage", "potentialAction": { "@type": "ViewAction", "target": "#14?email_source=notifications\u0026email_token=ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issuecomment-533063576",

"url": "#14?email_source=notifications\u0026email_token=ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issuecomment-533063576", "name": "View Issue" }, "description": "View this Issue on GitHub", "publisher": { "@type": "Organization", "name": "GitHub", "url": "https://github.com" } } ]

您好!我也出现了assert len(sys.argv)==5的问题,不知道是如何解决的?

zhoushuairan commented 4 years ago

嗯嗯谢谢了前一次我已经把版本换了,并且成功运行了😄😄

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签名是由网易邮件管理员定制的 在2019年09月19日18:10,m10507412缩小:上面tensor那些我猜应该是版本问题问你要不要更新吧! assert len(sys.argv)== 5 他要五个参数,不是五个就会错误 —之所以收到此邮件,是因为您编写了该线程。直接回复此电子邮件,在GitHub上查看它,或使该线程静音。 [ { “ @context ”:“ http://schema.org”, “ @type ”:“ EmailMessage”, “ potentialAction”:{ “ @type ”:“ ViewAction”, “ target”:“ #14?email_source = notifications \ u0026email_token = ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issue-comment- “URL”: “ #14 email_source =通知\ u0026email_token = ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issuecomment-533063576?”, “ 名”: “查看问题” }, “ 说明”: “看待这个问题在GitHub上”, “ 出版人”:{ “ @键入 “:“组织”, “名称”:“ GitHub”, “ URL”:“ https://github.com “ } } ]

您好!我也出现了assert len(sys.argv)== 5的问题,不知道是如何解决的?

版本不对,重新配置环境,按照李大神的版本重新来过

AlexSun0110 commented 4 years ago

所以意思是,必须按照python3.5,tensorflow gpu 1.8是吗?我现在的tensorflow用的是cpu 1.8,可能是这个问题是吗(゚O゚)?

---原始邮件--- 发件人: "zhoushuairan"<notifications@github.com> 发送时间: 2019年12月1日(星期日) 晚上9:34 收件人: "tianyili2017/HEVC-Complexity-Reduction"<HEVC-Complexity-Reduction@noreply.github.com>; 抄送: "Comment"<comment@noreply.github.com>;"AlexSun0110"<976068834@qq.com>; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

嗯嗯谢谢了前一次我已经把版本换了,并且成功运行了😄😄 993649060 邮箱:993649060@qq.com
签名是由网易邮件管理员定制的 在2019年09月19日18:10,m10507412缩小:上面tensor那些我猜应该是版本问题问你要不要更新吧! assert len(sys.argv)== 5 他要五个参数,不是五个就会错误 —之所以收到此邮件,是因为您编写了该线程。直接回复此电子邮件,在GitHub上查看它,或使该线程静音。 [ { “ @context ”:“ http://schema.org”, “ @type ”:“ EmailMessage”, “ potentialAction”:{ “ @type ”:“ ViewAction”, “ target”:“ #14?email_source = notifications \ u0026email_token = ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issue-comment- “URL”: “ #14 email_source =通知\ u0026email_token = ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issuecomment-533063576?”, “ 名”: “查看问题” }, “ 说明”: “看待这个问题在GitHub上”, “ 出版人”:{ “ @键入 “:“组织”, “名称”:“ GitHub”, “ URL”:“ https://github.com “ } } ]

您好!我也出现了assert len(sys.argv)== 5的问题,不知道是如何解决的?

版本不对,重新配置环境,按照李大神的版本重新来过

— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

zhoushuairan commented 4 years ago

其他版本可能出现各种问题 有待解决 我暑假整了一个月------------------ 原始邮件 ------------------ 发件人: "AlexSun0110"notifications@github.com 发送时间: 2019年12月1日(星期天) 晚上9:47 收件人: "tianyili2017/HEVC-Complexity-Reduction"HEVC-Complexity-Reduction@noreply.github.com; 抄送: "zhoushuairan"993649060@qq.com;"Author"author@noreply.github.com; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

所以意思是,必须按照python3.5,tensorflow gpu 1.8是吗?我现在的tensorflow用的是cpu 1.8,可能是这个问题是吗(゚O゚)?

---原始邮件--- 发件人: "zhoushuairan"<notifications@github.com> 发送时间: 2019年12月1日(星期日) 晚上9:34 收件人: "tianyili2017/HEVC-Complexity-Reduction"<HEVC-Complexity-Reduction@noreply.github.com>; 抄送: "Comment"<comment@noreply.github.com>;"AlexSun0110"<976068834@qq.com>; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

嗯嗯谢谢了前一次我已经把版本换了,并且成功运行了 993649060 邮箱:993649060@qq.com
签名是由网易邮件管理员定制的 在2019年09月19日18:10,m10507412缩小:上面tensor那些我猜应该是版本问题问你要不要更新吧! assert len(sys.argv)== 5 他要五个参数,不是五个就会错误 —之所以收到此邮件,是因为您编写了该线程。直接回复此电子邮件,在GitHub上查看它,或使该线程静音。 [ { “ @context ”:“ http://schema.org”, “ @type ”:“ EmailMessage”, “ potentialAction”:{ “ @type ”:“ ViewAction”, “ target”:“ #14?email_source = notifications \ u0026email_token = ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issue-comment- “URL”: “ #14 email_source =通知\ u0026email_token = ALZL6DFOQ5NCP36U57U3JA3QKNFZDA5CNFSM4ILG7ST2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7C6PGA#issuecomment-533063576?”, “ 名”: “查看问题” }, “ 说明”: “看待这个问题在GitHub上”, “ 出版人”:{ “ @键入 “:“组织”, “名称”:“ GitHub”, “ URL”:“ https://github.com “ } } ]

您好!我也出现了assert len(sys.argv)== 5的问题,不知道是如何解决的?

版本不对,重新配置环境,按照李大神的版本重新来过

— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

KuGua98 commented 4 years ago

你好,我反复确认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解决?

zhoushuairan commented 4 years ago

在环境配置过程中,我也出现过类似的情况,应该还是环境配置与李博主所描述的有所差异,建议重新卸载,重新配置。以上是我的环境配置。

------------------ 原始邮件 ------------------ 发件人: "KuGua98"<notifications@github.com>; 发送时间: 2020年5月10日(星期天) 上午9:30 收件人: "tianyili2017/HEVC-Complexity-Reduction"<HEVC-Complexity-Reduction@noreply.github.com>; 抄送: "周帅燃"<993649060@qq.com>; "Author"<author@noreply.github.com>; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

你好,我反复确认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解决?

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tianyili2017 commented 3 years ago

您好!看讨论中涉及到各种Python和Tensorflow版本,暂时不确定是否版本问题,因为之前的测试都是在一种配置下进行的(README.md提到),如有可能,最好用接近的配置运行,谢谢理解哈。 另外,还有一个可能的问题:运行的路径最好没有中文或空格,以免字符串识别错误,或者空格导致一个完整的字符串被识别成两个字符串,使得 assert len(sys.argv)==5 报错。

zhoushuairan commented 3 years ago

谢谢啦,已经使用对应版本实现啦!

发自我的iPhone

------------------ 原始邮件 ------------------ 发件人: tianyili2017 <notifications@github.com> 发送时间: 2021年1月4日 15:42 收件人: tianyili2017/HEVC-Complexity-Reduction <HEVC-Complexity-Reduction@noreply.github.com> 抄送: zhoushuairan <993649060@qq.com>, Author <author@noreply.github.com> 主题: 回复:[tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

huaxiazi commented 2 years ago

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解决?

你好,请问你的问题解决了吗

zhoushuairan commented 2 years ago

1.10版本吗不是?

---原始邮件--- 发件人: @.> 发送时间: 2021年10月31日(周日) 晚上8:26 收件人: @.>; 抄送: @.**@.>; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解决?

你好,请问你的问题解决了吗

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

huaxiazi commented 2 years ago

cpu版本吗

------------------ 原始邮件 ------------------ 发件人: "tianyili2017/HEVC-Complexity-Reduction" @.>; 发送时间: 2021年10月31日(星期天) 晚上8:37 @.>; @.**@.>; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

1.10版本吗不是?

---原始邮件--- 发件人: @.&gt; 发送时间: 2021年10月31日(周日) 晚上8:26 收件人: @.&gt;; 抄送: @.**@.&gt;; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解决?

你好,请问你的问题解决了吗

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

zhoushuairan commented 2 years ago

TensorFlow

---原始邮件--- 发件人: @.> 发送时间: 2021年10月31日(周日) 晚上9:05 收件人: @.>; 抄送: @.**@.>; 主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

cpu版本吗

------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "tianyili2017/HEVC-Complexity-Reduction" @.&gt;; 发送时间:&nbsp;2021年10月31日(星期天) 晚上8:37 @.&gt;; @.**@.&gt;; 主题:&nbsp;Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

1.10版本吗不是?

---原始邮件---
发件人: @.&amp;gt;
发送时间: 2021年10月31日(周日) 晚上8:26
收件人:
@.&amp;gt;;
抄送: @.**@.&amp;gt;;
主题: Re: [tianyili2017/HEVC-Complexity-Reduction] 运行HM-16.5_Test_AI\bulid工程出现的问题 (#14)

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解

你好,我承认了环境配置的版本,tensorflow1.8 python3.5 CUDA9.0 还是报错: assert len(sys.argv)==5 AssertionError

不知道应该如何解决?

你好,请问你的问题解决了吗


You are receiving this because you authored the thread.
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Triage notifications on the go with GitHub Mobile for iOS or Android.
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