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aias's Issues

如何离线进行文字识别

如何离线进行文字识别
Criteria<Image, NDList> criteria =
Criteria.builder()
.optEngine("PaddlePaddle")
.setTypes(Image.class, NDList.class)
.optModelUrls(
"https://aias-home.oss-cn-beijing.aliyuncs.com/models/ocr_models/ch_PP-OCRv3_det_infer.zip")
// .optModelUrls(
// "/Users/calvin/Documents/build/paddle_models/ppocr/ch_PP-OCRv2_det_infer")
.optTranslator(new OCRDetectionTranslator(new ConcurrentHashMap<String, String>()))
.optProgress(new ProgressBar())
.build();
他调用了https://aias-home.oss-cn-beijing.aliyuncs.com/models/ocr_models/ch_PP-OCRv3_det_infer.zip这个包 我可以改为本地地址吗

rtsp-face-sdk

Calvin大神您好,请问可以提供一下rtsp-face-sdk中用到的lib吗,me.calvin.aias.FaceDetect找不到,不胜感激

iocr

作者大大好,我通过文档部署iocr之后进行自定义模板识别,上传原图识别能到达预期的效果,但是使用在线图片识别的时候结果与标注的匹配不一致,通过对比发现 在线图片的宽高比稍大一点,请问是否是识别的图片要跟标注的图片大小一致识别才正确?

1
2
3

glog的警告信息怎么处理?

WARNING: Logging before InitGoogleLogging() is written to STDERR
W0401 10:57:28.656622 7832 analysis_predictor.cc:1145] Deprecated. Please use CreatePredictor instead.
I0401 10:57:28.656622 7832 analysis_predictor.cc:155] Profiler is deactivated, and no profiling report will be generated.
e[1me[35m--- Running analysis [ir_graph_build_pass]e[0m
e[1me[35m--- Running analysis [ir_graph_clean_pass]e[0m
e[1me[35m--- Running analysis [ir_analysis_pass]e[0m
e[32m--- Running IR pass [simplify_with_basic_ops_pass]e[0m
e[32m--- Running IR pass [attention_lstm_fuse_pass]e[0m
e[32m--- Running IR pass [seqconv_eltadd_relu_fuse_pass]e[0m
e[32m--- Running IR pass [seqpool_cvm_concat_fuse_pass]e[0m
e[32m--- Running IR pass [mul_lstm_fuse_pass]e[0m
e[32m--- Running IR pass [fc_gru_fuse_pass]e[0m
e[32m--- Running IR pass [mul_gru_fuse_pass]e[0m
e[32m--- Running IR pass [seq_concat_fc_fuse_pass]e[0m
e[32m--- Running IR pass [squeeze2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [reshape2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [flatten2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [map_matmul_to_mul_pass]e[0m
e[32m--- Running IR pass [fc_fuse_pass]e[0m
e[32m--- Running IR pass [repeated_fc_relu_fuse_pass]e[0m
e[32m--- Running IR pass [squared_mat_sub_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0401 10:57:28.782287 7832 graph_pattern_detector.cc:101] --- detected 33 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_eltwiseadd_bn_fuse_pass]e[0m
I0401 10:57:28.795253 7832 graph_pattern_detector.cc:101] --- detected 1 subgraphs
e[32m--- Running IR pass [is_test_pass]e[0m
e[32m--- Running IR pass [runtime_context_cache_pass]e[0m
e[1me[35m--- Running analysis [ir_params_sync_among_devices_pass]e[0m
e[1me[35m--- Running analysis [adjust_cudnn_workspace_size_pass]e[0m
e[1me[35m--- Running analysis [inference_op_replace_pass]e[0m
e[1me[35m--- Running analysis [ir_graph_to_program_pass]e[0m
I0401 10:57:28.839135 7832 analysis_predictor.cc:598] ======= optimize end =======
I0401 10:57:28.839135 7832 naive_executor.cc:107] --- skip [feed], feed -> x
I0401 10:57:28.842128 7832 naive_executor.cc:107] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
I0401 10:57:28.844122 7832 analysis_predictor.cc:155] Profiler is deactivated, and no profiling report will be generated.
I0401 10:57:28.845119 7832 naive_executor.cc:107] --- skip [feed], feed -> x
I0401 10:57:28.847115 7832 naive_executor.cc:107] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
Loading: 100% |========================================|
W0401 10:57:28.897034 7832 analysis_predictor.cc:1145] Deprecated. Please use CreatePredictor instead.
I0401 10:57:28.898003 7832 analysis_predictor.cc:155] Profiler is deactivated, and no profiling report will be generated.
e[1me[35m--- Running analysis [ir_graph_build_pass]e[0m
e[1me[35m--- Running analysis [ir_graph_clean_pass]e[0m
e[1me[35m--- Running analysis [ir_analysis_pass]e[0m
e[32m--- Running IR pass [simplify_with_basic_ops_pass]e[0m
e[32m--- Running IR pass [attention_lstm_fuse_pass]e[0m
e[32m--- Running IR pass [seqconv_eltadd_relu_fuse_pass]e[0m
e[32m--- Running IR pass [seqpool_cvm_concat_fuse_pass]e[0m
e[32m--- Running IR pass [mul_lstm_fuse_pass]e[0m
e[32m--- Running IR pass [fc_gru_fuse_pass]e[0m
e[32m--- Running IR pass [mul_gru_fuse_pass]e[0m
e[32m--- Running IR pass [seq_concat_fc_fuse_pass]e[0m
e[32m--- Running IR pass [squeeze2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [reshape2_matmul_fuse_pass]e[0m
I0401 10:57:28.956837 7832 graph_pattern_detector.cc:101] --- detected 1 subgraphs
e[32m--- Running IR pass [flatten2_matmul_fuse_pass]e[0m
e[32m--- Running IR pass [map_matmul_to_mul_pass]e[0m
I0401 10:57:28.958833 7832 graph_pattern_detector.cc:101] --- detected 1 subgraphs
e[32m--- Running IR pass [fc_fuse_pass]e[0m
I0401 10:57:28.959831 7832 graph_pattern_detector.cc:101] --- detected 1 subgraphs
e[32m--- Running IR pass [repeated_fc_relu_fuse_pass]e[0m
e[32m--- Running IR pass [squared_mat_sub_fuse_pass]e[0m
e[32m--- Running IR pass [conv_bn_fuse_pass]e[0m
I0401 10:57:29.000751 7832 graph_pattern_detector.cc:101] --- detected 24 subgraphs
e[32m--- Running IR pass [conv_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_bn_fuse_pass]e[0m
e[32m--- Running IR pass [conv_transpose_eltwiseadd_bn_fuse_pass]e[0m
e[32m--- Running IR pass [is_test_pass]e[0m
e[32m--- Running IR pass [runtime_context_cache_pass]e[0m
e[1me[35m--- Running analysis [ir_params_sync_among_devices_pass]e[0m
e[1me[35m--- Running analysis [adjust_cudnn_workspace_size_pass]e[0m
e[1me[35m--- Running analysis [inference_op_replace_pass]e[0m
e[1me[35m--- Running analysis [ir_graph_to_program_pass]e[0m
I0401 10:57:29.055603 7832 analysis_predictor.cc:598] ======= optimize end =======
I0401 10:57:29.055603 7832 naive_executor.cc:107] --- skip [feed], feed -> x
I0401 10:57:29.058598 7832 naive_executor.cc:107] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch
I0401 10:57:29.058598 7832 analysis_predictor.cc:155] Profiler is deactivated, and no profiling report will be generated.
I0401 10:57:29.058598 7832 naive_executor.cc:107] --- skip [feed], feed -> x
I0401 10:57:29.060588 7832 naive_executor.cc:107] --- skip [save_infer_model/scale_0.tmp_1], fetch -> fetch

centos7.5如何使用文字识别?

是必须将版本升级为7.9.2002吗?
centos7.5 离线使用PaddlePaddle Maven包
异常:
Problematic frame:
C [libpaddle_inference.so+0xebf28a]
出现以上错误 如何解决? 升级?
我看文档 其centos7支持PyTorch 和 TensorFlow 我不知道如何使用他们 需要修改成这样?我试过了 它是报错的
Criteria.builder()
.optEngine("Tensorflow")

如果我是用了PyTorch 和 TensorFlow他是否需要AVX/AVX2指令支撑? PaddlePaddle也会需要吗?我目前没有看到。

导入其他.pt模型文件报错

导入其他的pt模型文件报错:
PytorchStreamReader failed locating file constants.pkl: file not found
请问是什么问题?

Symbol successfully upgraded问题

windows环境,运行安全帽识别demo不成功,提示如图中信息后 应用就关掉

请问大佬,这个问题可能是我这边什么原因导致的呢?

1671672170637

# asr_sdk

感谢您的分享。我在运行asr_sdk示例程序时出了点问题,不知是否是因为我遗漏了一些重要配置,麻烦您帮忙看一下,谢谢!
7fbd5dc48d3cb759598e76a8232c224

测试过程中发现Orc sdk识别很慢,如何提高ocr识别速度

作者大大你好,看到你的sdk就测试了以下,发现识别一张图片需要很长时间,如果文字多一点点就得快一分钟,如果采用多线程识别subImage,就会出现以下错误,应该是内存错误

还有就是调用batchPredict会出现以下错误
Failed to allocate CPU Memory

是不是我使用的方法错误,请问作者大大如何提高sdk识别速度。在多请求的情况下,如何保证效率输出

A fatal error has been detected by the Java Runtime Environment:

EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x00007ffcdc3fffa1, pid=71300, tid=0x000000000000ed5c

JRE version: Java(TM) SE Runtime Environment (8.0_111-b14) (build 1.8.0_111-b14)

Java VM: Java HotSpot(TM) 64-Bit Server VM (25.111-b14 mixed mode windows-amd64 compressed oops)

Problematic frame:

C [paddle_inference.dll+0x1aeffa1]

Failed to write core dump. Minidumps are not enabled by default on client versions of Windows

If you would like to submit a bug report, please visit:

http://bugreport.java.com/bugreport/crash.jsp

The crash happened outside the Java Virtual Machine in native code.

See problematic frame for where to report the bug.

--------------- T H R E A D ---------------

Current thread (0x0000000018712800): JavaThread "pool-2-thread-9" [_thread_in_native, id=60764, stack(0x0000000069530000,0x0000000069630000)]

siginfo: ExceptionCode=0xc0000005, reading address 0xffffffffffffffff

Registers:
RAX=0x3ef2f2f43f23a3a4, RBX=0x00000000513d5958, RCX=0x172b2052e6bd0000, RDX=0x3ef2f2f43f23a3a4
RSP=0x0000000069628710, RBP=0x0000000069628780, RSI=0x000000015f4b0060, RDI=0x0000000000000000
R8 =0x0000000069628788, R9 =0x0000000000000000, R10=0x0000000069628802, R11=0x0000000069628700
R12=0x3ef2f2f43f23a3a4, R13=0x000000015f4b0060, R14=0x00000000000000e0, R15=0x00000000513d58c0
RIP=0x00007ffcdc3fffa1, EFLAGS=0x0000000000010246

Top of Stack: (sp=0x0000000069628710)
0x0000000069628710: 0000000000000000 0000000000000000
0x0000000069628720: 00000000513d5958 000000015f4b0060
0x0000000069628730: 0000000069628a08 00000000000000e0
0x0000000069628740: fffffffffffffffe 00007ffcdc3e7d97
0x0000000069628750: 0000000000000000 000000006962e1f0
0x0000000069628760: 000000006962e1f0 000000015f4b00a0
0x0000000069628770: fffffffffffffffe 0000000000000000
0x0000000069628780: 0000000069628a08 00000000000000e0
0x0000000069628790: 00007ffcda910000 00000000ffffffff
0x00000000696287a0: 000000015f4b00a0 000000006962e1f0
0x00000000696287b0: 0000000069628840 00007ffcdc3e7229
0x00000000696287c0: 0000000000000000 0000000000000000
0x00000000696287d0: 00000000513d5958 000000083044e9c7
0x00000000696287e0: 0000000000000000 0000000056907150
0x00000000696287f0: 000000001b674f68 0000000014197f88
0x0000000069628800: 000000004e786460 fffffffffffffffe

Instructions: (pc=0x00007ffcdc3fffa1)
0x00007ffcdc3fff81: fe 90 40 f6 c7 04 74 0c 83 e7 fb 48 8d 4d c8 e8
0x00007ffcdc3fff91: ab 47 5c fe 49 8b d4 49 8d 4f 48 e8 2f 17 00 00
0x00007ffcdc3fffa1: 83 78 08 00 75 30 4c 89 65 c8 48 8b 48 20 48 89
0x00007ffcdc3fffb1: 4d d0 48 8b 40 10 48 89 45 d8 49 8d 4f 28 48 8d

Register to memory mapping:

RAX=0x3ef2f2f43f23a3a4 is an unknown value
RBX=0x00000000513d5958 is an unknown value
RCX=0x172b2052e6bd0000 is an unknown value
RDX=0x3ef2f2f43f23a3a4 is an unknown value
RSP=0x0000000069628710 is pointing into the stack for thread: 0x0000000018712800
RBP=0x0000000069628780 is pointing into the stack for thread: 0x0000000018712800
RSI=0x000000015f4b0060 is an unknown value
RDI=0x0000000000000000 is an unknown value
R8 =0x0000000069628788 is pointing into the stack for thread: 0x0000000018712800
R9 =0x0000000000000000 is an unknown value
R10=0x0000000069628802 is pointing into the stack for thread: 0x0000000018712800
R11=0x0000000069628700 is pointing into the stack for thread: 0x0000000018712800
R12=0x3ef2f2f43f23a3a4 is an unknown value
R13=0x000000015f4b0060 is an unknown value
R14=0x00000000000000e0 is an unknown value
R15=0x00000000513d58c0 is an unknown value

Stack: [0x0000000069530000,0x0000000069630000], sp=0x0000000069628710, free space=993k
Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code)
C [paddle_inference.dll+0x1aeffa1]
C [paddle_inference.dll+0x1ad7229]
C [paddle_inference.dll+0x1ad7d0f]
C [paddle_inference.dll+0x3bbb31]
C [paddle_inference.dll+0x59ab9]
C [paddle_inference.dll+0x19dd3b0]
C [paddle_inference.dll+0x19d660f]
C [paddle_inference.dll+0x19d3524]
C [paddle_inference.dll+0x19d6152]
C [paddle_inference.dll+0x19d39d5]
C [paddle_inference.dll+0x19ab18c]
C [ntdll.dll+0xa207f]
C [ntdll.dll+0x1d9b2]
C [paddle_inference.dll+0x19d3865]
C [paddle_inference.dll+0x19d5844]
C [paddle_inference.dll+0x19d5b3b]
C [paddle_inference.dll+0x19d6258]
C [paddle_inference.dll+0x19d39d5]
C [paddle_inference.dll+0x19ab18c]
C [ntdll.dll+0xa1fff]
C [ntdll.dll+0x6aad9]
C [ntdll.dll+0x6a893]
C [KERNELBASE.dll+0x43b19]
C [paddle_inference.dll+0x19d63d1]
C [ntdll.dll+0xa1446]
C [paddle_inference.dll+0x1dbbaf]
C [paddle_inference.dll+0x1db2d4]
C [paddle_inference.dll+0xd48c9d]
C [paddle_inference.dll+0xd3efa0]
C [paddle_inference.dll+0x1ff1af]
C [paddle_inference.dll+0x1ff94d]
C [paddle_inference.dll+0x1feb98]
C [paddle_inference.dll+0x210c18]
C [paddle_inference.dll+0x7c0f4]
C [0.16.0-djl_paddle.dll+0x429f]
C 0x0000000002ff7f74

Java frames: (J=compiled Java code, j=interpreted, Vv=VM code)
j ai.djl.paddlepaddle.jni.PaddleLibrary.runInference(J[J)[J+0
j ai.djl.paddlepaddle.jni.JniUtils.predictorForward(Lai/djl/paddlepaddle/engine/PaddlePredictor;[Lai/djl/paddlepaddle/engine/PpNDArray;[Ljava/lang/String;)Lai/djl/ndarray/NDList;+57
j ai.djl.paddlepaddle.engine.PpSymbolBlock.forwardInternal(Lai/djl/training/ParameterStore;Lai/djl/ndarray/NDList;ZLai/djl/util/PairList;)Lai/djl/ndarray/NDList;+69
j ai.djl.nn.AbstractBlock.forward(Lai/djl/training/ParameterStore;Lai/djl/ndarray/NDList;ZLai/djl/util/PairList;)Lai/djl/ndarray/NDList;+36
j ai.djl.nn.Block.forward(Lai/djl/training/ParameterStore;Lai/djl/ndarray/NDList;Z)Lai/djl/ndarray/NDList;+5
j ai.djl.inference.Predictor.predictInternal(Lai/djl/translate/TranslatorContext;Lai/djl/ndarray/NDList;)Lai/djl/ndarray/NDList;+21
j ai.djl.inference.Predictor.batchPredict(Ljava/util/List;)Ljava/util/List;+133
j ai.djl.inference.Predictor.predict(Ljava/lang/Object;)Ljava/lang/Object;+5
j com.lx.security.ocr.algorithm.facade.LightOcrRecAlgorithmFacadeImpl$1.call()Ljava/lang/Void;+69
j com.lx.security.ocr.algorithm.facade.LightOcrRecAlgorithmFacadeImpl$1.call()Ljava/lang/Object;+1
j com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly()Ljava/lang/Object;+4
j com.google.common.util.concurrent.InterruptibleTask.run()V+37
j com.google.common.util.concurrent.TrustedListenableFutureTask.run()V+10
j java.util.concurrent.ThreadPoolExecutor.runWorker(Ljava/util/concurrent/ThreadPoolExecutor$Worker;)V+95
j java.util.concurrent.ThreadPoolExecutor$Worker.run()V+5
j java.lang.Thread.run()V+11
v ~StubRoutines::call_stub

--------------- P R O C E S S ---------------

Java Threads: ( => current thread )
0x00000000184e7000 JavaThread "pool-2-thread-21" [_thread_in_native, id=64256, stack(0x000000006a130000,0x000000006a230000)]
0x00000000184e3000 JavaThread "pool-2-thread-20" [_thread_in_native, id=33660, stack(0x000000006a030000,0x000000006a130000)]
0x0000000018718800 JavaThread "pool-2-thread-19" [_thread_in_native, id=53008, stack(0x0000000069f30000,0x000000006a030000)]
0x0000000018717800 JavaThread "pool-2-thread-18" [_thread_in_native, id=60252, stack(0x0000000069e30000,0x0000000069f30000)]
0x0000000018717000 JavaThread "pool-2-thread-17" [_thread_in_native, id=22832, stack(0x0000000069d30000,0x0000000069e30000)]
0x0000000018719000 JavaThread "pool-2-thread-16" [_thread_in_native, id=35076, stack(0x0000000069c30000,0x0000000069d30000)]
0x0000000018716000 JavaThread "pool-2-thread-15" [_thread_in_native, id=26052, stack(0x0000000069b30000,0x0000000069c30000)]
0x000000001871a000 JavaThread "pool-2-thread-14" [_thread_in_native, id=12848, stack(0x0000000069a30000,0x0000000069b30000)]
0x000000001871a800 JavaThread "pool-2-thread-13" [_thread_in_native, id=62840, stack(0x0000000069930000,0x0000000069a30000)]
0x0000000018711000 JavaThread "pool-2-thread-12" [_thread_in_native, id=57996, stack(0x0000000069830000,0x0000000069930000)]
0x0000000018715800 JavaThread "pool-2-thread-11" [_thread_in_native, id=68756, stack(0x0000000069730000,0x0000000069830000)]
0x000000001870f800 JavaThread "pool-2-thread-10" [_thread_in_native, id=17720, stack(0x0000000069630000,0x0000000069730000)]
=>0x0000000018712800 JavaThread "pool-2-thread-9" [_thread_in_native, id=60764, stack(0x0000000069530000,0x0000000069630000)]
0x0000000018711800 JavaThread "pool-2-thread-8" [_thread_in_native, id=55196, stack(0x0000000065d90000,0x0000000065e90000)]
0x0000000018714800 JavaThread "pool-2-thread-7" [_thread_in_native, id=70596, stack(0x0000000065c90000,0x0000000065d90000)]
0x0000000018714000 JavaThread "pool-2-thread-6" [_thread_in_native, id=41588, stack(0x0000000065b90000,0x0000000065c90000)]
0x000000001870d000 JavaThread "pool-2-thread-5" [_thread_in_native, id=54692, stack(0x0000000065a90000,0x0000000065b90000)]
0x000000001870e000 JavaThread "pool-2-thread-4" [_thread_in_native, id=57644, stack(0x0000000065990000,0x0000000065a90000)]
0x000000001870c800 JavaThread "pool-2-thread-3" [_thread_in_native, id=11096, stack(0x0000000065890000,0x0000000065990000)]
0x000000001870e800 JavaThread "pool-2-thread-2" [_thread_in_native, id=68944, stack(0x00000000637a0000,0x00000000638a0000)]
0x0000000018710000 JavaThread "pool-2-thread-1" [_thread_in_native, id=22680, stack(0x00000000636a0000,0x00000000637a0000)]
0x0000000018713000 JavaThread "pool-1-thread-1" [_thread_blocked, id=55160, stack(0x00000000635a0000,0x00000000636a0000)]
0x000000001870b800 JavaThread "ForkJoinPool.commonPool-worker-10" daemon [_thread_blocked, id=69996, stack(0x000000006b0f0000,0x000000006b1f0000)]
0x000000001bdd0000 JavaThread "ForkJoinPool.commonPool-worker-3" daemon [_thread_blocked, id=29280, stack(0x000000006aff0000,0x000000006b0f0000)]
0x000000001bdca000 JavaThread "ForkJoinPool.commonPool-worker-1" daemon [_thread_blocked, id=41128, stack(0x000000006aef0000,0x000000006aff0000)]
0x000000001bdce800 JavaThread "ForkJoinPool.commonPool-worker-8" daemon [_thread_blocked, id=29896, stack(0x000000006adf0000,0x000000006aef0000)]
0x000000001bdcd800 JavaThread "ForkJoinPool.commonPool-worker-15" daemon [_thread_blocked, id=42720, stack(0x000000006acf0000,0x000000006adf0000)]
0x000000001bdcb800 JavaThread "ForkJoinPool.commonPool-worker-6" daemon [_thread_blocked, id=38184, stack(0x000000006abf0000,0x000000006acf0000)]
0x000000001bdca800 JavaThread "ForkJoinPool.commonPool-worker-13" daemon [_thread_blocked, id=42544, stack(0x000000006aaf0000,0x000000006abf0000)]
0x000000001bdd0800 JavaThread "ForkJoinPool.commonPool-worker-4" daemon [_thread_blocked, id=26908, stack(0x000000006a9f0000,0x000000006aaf0000)]
0x000000001bdcc000 JavaThread "ForkJoinPool.commonPool-worker-11" daemon [_thread_blocked, id=61948, stack(0x0000000065ec0000,0x0000000065fc0000)]
0x000000001bdcf000 JavaThread "ForkJoinPool.commonPool-worker-2" daemon [_thread_blocked, id=25492, stack(0x0000000064350000,0x0000000064450000)]
0x000000001bdcd000 JavaThread "ForkJoinPool.commonPool-worker-9" daemon [_thread_blocked, id=58632, stack(0x0000000063d10000,0x0000000063e10000)]
0x00000000190c7800 JavaThread "Java2D Disposer" daemon [_thread_blocked, id=58996, stack(0x0000000019ca0000,0x0000000019da0000)]
0x000000001625f800 JavaThread "Service Thread" daemon [_thread_blocked, id=14328, stack(0x0000000017b70000,0x0000000017c70000)]
0x00000000161c5000 JavaThread "C1 CompilerThread3" daemon [_thread_blocked, id=28512, stack(0x0000000017a70000,0x0000000017b70000)]
0x00000000161c3000 JavaThread "C2 CompilerThread2" daemon [_thread_blocked, id=14480, stack(0x0000000017970000,0x0000000017a70000)]
0x00000000161c0800 JavaThread "C2 CompilerThread1" daemon [_thread_blocked, id=44248, stack(0x0000000017870000,0x0000000017970000)]
0x00000000161bb000 JavaThread "C2 CompilerThread0" daemon [_thread_blocked, id=62808, stack(0x0000000017770000,0x0000000017870000)]
0x000000001619b800 JavaThread "Monitor Ctrl-Break" daemon [_thread_in_native, id=33364, stack(0x0000000017670000,0x0000000017770000)]
0x0000000016189800 JavaThread "Attach Listener" daemon [_thread_blocked, id=37160, stack(0x0000000017570000,0x0000000017670000)]
0x0000000016130000 JavaThread "Signal Dispatcher" daemon [_thread_blocked, id=52900, stack(0x0000000017470000,0x0000000017570000)]
0x0000000016113000 JavaThread "Finalizer" daemon [_thread_blocked, id=27672, stack(0x0000000017370000,0x0000000017470000)]
0x0000000014a4d800 JavaThread "Reference Handler" daemon [_thread_blocked, id=46816, stack(0x0000000017270000,0x0000000017370000)]
0x0000000002ee6000 JavaThread "main" [_thread_blocked, id=52144, stack(0x0000000002c60000,0x0000000002d60000)]

Other Threads:
0x00000000160f2800 VMThread [stack: 0x0000000017170000,0x0000000017270000] [id=34376]
0x00000000162d5800 WatcherThread [stack: 0x0000000017c70000,0x0000000017d70000] [id=36084]

VM state:not at safepoint (normal execution)

VM Mutex/Monitor currently owned by a thread: None

Heap:
PSYoungGen total 126976K, used 29990K [0x00000000f5580000, 0x00000000ff800000, 0x0000000100000000)
eden space 90112K, 13% used [0x00000000f5580000,0x00000000f61a6018,0x00000000fad80000)
from space 36864K, 47% used [0x00000000fce80000,0x00000000fdfa3ad0,0x00000000ff280000)
to space 33792K, 0% used [0x00000000fad80000,0x00000000fad80000,0x00000000fce80000)
ParOldGen total 175104K, used 50594K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 28% used [0x00000000e0000000,0x00000000e3168928,0x00000000eab00000)
Metaspace used 28310K, capacity 29598K, committed 29744K, reserved 1075200K
class space used 3632K, capacity 3885K, committed 3888K, reserved 1048576K

Card table byte_map: [0x00000000123a0000,0x00000000124b0000] byte_map_base: 0x0000000011ca0000

Marking Bits: (ParMarkBitMap*) 0x000000006fa7a6c0
Begin Bits: [0x0000000012f60000, 0x0000000013760000)
End Bits: [0x0000000013760000, 0x0000000013f60000)

Polling page: 0x00000000005f0000

CodeCache: size=245760Kb used=10714Kb max_used=10840Kb free=235045Kb
bounds [0x0000000002fe0000, 0x0000000003a90000, 0x0000000011fe0000]
total_blobs=3765 nmethods=3242 adapters=435
compilation: enabled

Compilation events (10 events):
Event: 25.064 Thread 0x00000000161c5000 3295 3 ai.djl.ndarray.BaseNDManager$$Lambda$293/463215441:: (20 bytes)
Event: 25.064 Thread 0x00000000161c5000 nmethod 3295 0x0000000003145910 code [0x0000000003145a60, 0x0000000003145c50]
Event: 25.064 Thread 0x00000000161c5000 3296 s 3 ai.djl.ndarray.BaseNDManager::attachInternal (38 bytes)
Event: 25.065 Thread 0x00000000161c5000 nmethod 3296 0x0000000003116d10 code [0x0000000003116ee0, 0x0000000003117878]
Event: 25.065 Thread 0x00000000161c5000 3298 3 ai.djl.ndarray.BaseNDManager$$Lambda$293/463215441::get$Lambda (11 bytes)
Event: 25.065 Thread 0x00000000161c5000 nmethod 3298 0x0000000003a6a690 code [0x0000000003a6a800, 0x0000000003a6aa90]
Event: 25.065 Thread 0x00000000161c5000 3299 3 ai.djl.ndarray.BaseNDManager::lambda$attachInternal$0 (28 bytes)
Event: 25.065 Thread 0x00000000161c5000 nmethod 3299 0x00000000031432d0 code [0x0000000003143460, 0x0000000003143778]
Event: 25.065 Thread 0x00000000161c5000 3300 3 ai.djl.ndarray.BaseNDManager$$Lambda$293/463215441::apply (24 bytes)
Event: 25.065 Thread 0x00000000161c5000 nmethod 3300 0x00000000030eef10 code [0x00000000030ef0c0, 0x00000000030ef638]

GC Heap History (10 events):
Event: 1.523 GC heap before
{Heap before GC invocations=3 (full 0):
PSYoungGen total 76288K, used 52065K [0x00000000f5580000, 0x00000000faa80000, 0x0000000100000000)
eden space 65536K, 65% used [0x00000000f5580000,0x00000000f7fade78,0x00000000f9580000)
from space 10752K, 82% used [0x00000000fa000000,0x00000000fa8aa868,0x00000000faa80000)
to space 10752K, 0% used [0x00000000f9580000,0x00000000f9580000,0x00000000fa000000)
ParOldGen total 175104K, used 32K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 0% used [0x00000000e0000000,0x00000000e0008000,0x00000000eab00000)
Metaspace used 20116K, capacity 21230K, committed 21296K, reserved 1067008K
class space used 2638K, capacity 2851K, committed 2864K, reserved 1048576K
Event: 1.527 GC heap after
Heap after GC invocations=3 (full 0):
PSYoungGen total 76288K, used 7511K [0x00000000f5580000, 0x00000000faa80000, 0x0000000100000000)
eden space 65536K, 0% used [0x00000000f5580000,0x00000000f5580000,0x00000000f9580000)
from space 10752K, 69% used [0x00000000f9580000,0x00000000f9cd5c00,0x00000000fa000000)
to space 10752K, 0% used [0x00000000fa000000,0x00000000fa000000,0x00000000faa80000)
ParOldGen total 175104K, used 40K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 0% used [0x00000000e0000000,0x00000000e000a000,0x00000000eab00000)
Metaspace used 20116K, capacity 21230K, committed 21296K, reserved 1067008K
class space used 2638K, capacity 2851K, committed 2864K, reserved 1048576K
}
Event: 1.527 GC heap before
{Heap before GC invocations=4 (full 1):
PSYoungGen total 76288K, used 7511K [0x00000000f5580000, 0x00000000faa80000, 0x0000000100000000)
eden space 65536K, 0% used [0x00000000f5580000,0x00000000f5580000,0x00000000f9580000)
from space 10752K, 69% used [0x00000000f9580000,0x00000000f9cd5c00,0x00000000fa000000)
to space 10752K, 0% used [0x00000000fa000000,0x00000000fa000000,0x00000000faa80000)
ParOldGen total 175104K, used 40K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 0% used [0x00000000e0000000,0x00000000e000a000,0x00000000eab00000)
Metaspace used 20116K, capacity 21230K, committed 21296K, reserved 1067008K
class space used 2638K, capacity 2851K, committed 2864K, reserved 1048576K
Event: 1.550 GC heap after
Heap after GC invocations=4 (full 1):
PSYoungGen total 76288K, used 0K [0x00000000f5580000, 0x00000000faa80000, 0x0000000100000000)
eden space 65536K, 0% used [0x00000000f5580000,0x00000000f5580000,0x00000000f9580000)
from space 10752K, 0% used [0x00000000f9580000,0x00000000f9580000,0x00000000fa000000)
to space 10752K, 0% used [0x00000000fa000000,0x00000000fa000000,0x00000000faa80000)
ParOldGen total 175104K, used 7202K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 4% used [0x00000000e0000000,0x00000000e0708a40,0x00000000eab00000)
Metaspace used 20116K, capacity 21230K, committed 21296K, reserved 1067008K
class space used 2638K, capacity 2851K, committed 2864K, reserved 1048576K
}
Event: 2.414 GC heap before
{Heap before GC invocations=5 (full 1):
PSYoungGen total 76288K, used 65536K [0x00000000f5580000, 0x00000000faa80000, 0x0000000100000000)
eden space 65536K, 100% used [0x00000000f5580000,0x00000000f9580000,0x00000000f9580000)
from space 10752K, 0% used [0x00000000f9580000,0x00000000f9580000,0x00000000fa000000)
to space 10752K, 0% used [0x00000000fa000000,0x00000000fa000000,0x00000000faa80000)
ParOldGen total 175104K, used 7202K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 4% used [0x00000000e0000000,0x00000000e0708a40,0x00000000eab00000)
Metaspace used 26017K, capacity 27212K, committed 27440K, reserved 1073152K
class space used 3350K, capacity 3618K, committed 3632K, reserved 1048576K
Event: 2.423 GC heap after
Heap after GC invocations=5 (full 1):
PSYoungGen total 76288K, used 10727K [0x00000000f5580000, 0x00000000fc380000, 0x0000000100000000)
eden space 65536K, 0% used [0x00000000f5580000,0x00000000f5580000,0x00000000f9580000)
from space 10752K, 99% used [0x00000000fa000000,0x00000000faa79f10,0x00000000faa80000)
to space 10752K, 0% used [0x00000000f9580000,0x00000000f9580000,0x00000000fa000000)
ParOldGen total 175104K, used 38812K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 22% used [0x00000000e0000000,0x00000000e25e71e0,0x00000000eab00000)
Metaspace used 26017K, capacity 27212K, committed 27440K, reserved 1073152K
class space used 3350K, capacity 3618K, committed 3632K, reserved 1048576K
}
Event: 24.765 GC heap before
{Heap before GC invocations=6 (full 1):
PSYoungGen total 76288K, used 76263K [0x00000000f5580000, 0x00000000fc380000, 0x0000000100000000)
eden space 65536K, 100% used [0x00000000f5580000,0x00000000f9580000,0x00000000f9580000)
from space 10752K, 99% used [0x00000000fa000000,0x00000000faa79f10,0x00000000faa80000)
to space 10752K, 0% used [0x00000000f9580000,0x00000000f9580000,0x00000000fa000000)
ParOldGen total 175104K, used 38812K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 22% used [0x00000000e0000000,0x00000000e25e71e0,0x00000000eab00000)
Metaspace used 28149K, capacity 29430K, committed 29744K, reserved 1075200K
class space used 3609K, capacity 3853K, committed 3888K, reserved 1048576K
Event: 24.770 GC heap after
Heap after GC invocations=6 (full 1):
PSYoungGen total 76288K, used 10737K [0x00000000f5580000, 0x00000000ff280000, 0x0000000100000000)
eden space 65536K, 0% used [0x00000000f5580000,0x00000000f5580000,0x00000000f9580000)
from space 10752K, 99% used [0x00000000f9580000,0x00000000f9ffc4f0,0x00000000fa000000)
to space 36864K, 0% used [0x00000000fce80000,0x00000000fce80000,0x00000000ff280000)
ParOldGen total 175104K, used 50586K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 28% used [0x00000000e0000000,0x00000000e3166928,0x00000000eab00000)
Metaspace used 28149K, capacity 29430K, committed 29744K, reserved 1075200K
class space used 3609K, capacity 3853K, committed 3888K, reserved 1048576K
}
Event: 24.872 GC heap before
{Heap before GC invocations=7 (full 1):
PSYoungGen total 76288K, used 76273K [0x00000000f5580000, 0x00000000ff280000, 0x0000000100000000)
eden space 65536K, 100% used [0x00000000f5580000,0x00000000f9580000,0x00000000f9580000)
from space 10752K, 99% used [0x00000000f9580000,0x00000000f9ffc4f0,0x00000000fa000000)
to space 36864K, 0% used [0x00000000fce80000,0x00000000fce80000,0x00000000ff280000)
ParOldGen total 175104K, used 50586K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 28% used [0x00000000e0000000,0x00000000e3166928,0x00000000eab00000)
Metaspace used 28289K, capacity 29530K, committed 29744K, reserved 1075200K
class space used 3632K, capacity 3885K, committed 3888K, reserved 1048576K
Event: 24.877 GC heap after
Heap after GC invocations=7 (full 1):
PSYoungGen total 126976K, used 17550K [0x00000000f5580000, 0x00000000ff800000, 0x0000000100000000)
eden space 90112K, 0% used [0x00000000f5580000,0x00000000f5580000,0x00000000fad80000)
from space 36864K, 47% used [0x00000000fce80000,0x00000000fdfa3ad0,0x00000000ff280000)
to space 33792K, 0% used [0x00000000fad80000,0x00000000fad80000,0x00000000fce80000)
ParOldGen total 175104K, used 50594K [0x00000000e0000000, 0x00000000eab00000, 0x00000000f5580000)
object space 175104K, 28% used [0x00000000e0000000,0x00000000e3168928,0x00000000eab00000)
Metaspace used 28289K, capacity 29530K, committed 29744K, reserved 1075200K
class space used 3632K, capacity 3885K, committed 3888K, reserved 1048576K
}

Deoptimization events (10 events):
Event: 24.776 Thread 0x0000000018711800 Uncommon trap: reason=class_check action=maybe_recompile pc=0x000000000387ff8c method=java.util.regex.Matcher.getTextLength()I @ 4
Event: 24.776 Thread 0x000000001870e000 Uncommon trap: reason=class_check action=maybe_recompile pc=0x000000000387ff8c method=java.util.regex.Matcher.getTextLength()I @ 4
Event: 24.776 Thread 0x000000001870c800 Uncommon trap: reason=class_check action=maybe_recompile pc=0x000000000374d93c method=java.util.regex.Pattern$BmpCharProperty.match(Ljava/util/regex/Matcher;ILjava/lang/CharSequence;)Z @ 11
Event: 24.776 Thread 0x0000000018714800 Uncommon trap: reason=class_check action=maybe_recompile pc=0x000000000374d93c method=java.util.regex.Pattern$BmpCharProperty.match(Ljava/util/regex/Matcher;ILjava/lang/CharSequence;)Z @ 11
Event: 24.776 Thread 0x000000001870c800 Uncommon trap: reason=class_check action=maybe_recompile pc=0x000000000374d93c method=java.util.regex.Pattern$BmpCharProperty.match(Ljava/util/regex/Matcher;ILjava/lang/CharSequence;)Z @ 11
Event: 24.776 Thread 0x0000000018714800 Uncommon trap: reason=class_check action=maybe_recompile pc=0x000000000374d93c method=java.util.regex.Pattern$BmpCharProperty.match(Ljava/util/regex/Matcher;ILjava/lang/CharSequence;)Z @ 11
Event: 24.778 Thread 0x000000001871a000 Uncommon trap: reason=class_check action=maybe_recompile pc=0x000000000387dcbc method=java.util.regex.Matcher.getTextLength()I @ 4
Event: 24.827 Thread 0x0000000018710000 Uncommon trap: reason=unstable_if action=reinterpret pc=0x0000000003a47494 method=java.util.Scanner.hasNext()Z @ 12
Event: 24.829 Thread 0x0000000018710000 Uncommon trap: reason=unstable_if action=reinterpret pc=0x00000000039dafd8 method=java.awt.image.BufferedImage.getRGB(IIII[III)[I @ 163
Event: 24.830 Thread 0x0000000018710000 Uncommon trap: reason=unstable_if action=reinterpret pc=0x0000000003932104 method=com.sun.jna.Memory$LinkedReference.track(Lcom/sun/jna/Memory;)Lcom/sun/jna/Memory$LinkedReference; @ 17

Internal exceptions (10 events):
Event: 4.807 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f61e0178) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.945 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f61f6748) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.945 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f61f75e0) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.945 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f61f8f60) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.945 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f61fa4b0) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.945 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f61feb18) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.945 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f61fffa8) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.946 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f62020a0) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 4.946 Thread 0x0000000002ee6000 Exception <a 'sun/nio/fs/WindowsException'> (0x00000000f6202ee0) thrown at [C:\re\workspace\8-2-build-windows-amd64-cygwin\jdk8u111\7883\hotspot\src\share\vm\prims\jni.cpp, line 709]
Event: 23.389 Thread 0x0000000002ee6000 Exception <a 'java/lang/NoSuchMethodError': java.lang.Object.lambda$builder$0(Ljava/lang/Double;Ljava/lang/reflect/Type;Lcom/google/gson/JsonSerializationContext;)Lcom/google/gson/JsonElement;> (0x00000000f6d37108) thrown at [C:\re\workspace\8-2-build-win

Events (10 events):
Event: 24.974 Thread 0x00000000161c5000 flushing nmethod 0x0000000003148d90
Event: 24.974 Thread 0x00000000161c5000 flushing nmethod 0x000000000314b250
Event: 24.974 Thread 0x00000000161c5000 flushing nmethod 0x0000000003158950
Event: 24.975 Thread 0x00000000161c5000 flushing nmethod 0x00000000031a35d0
Event: 24.975 Thread 0x00000000161c5000 flushing nmethod 0x00000000031c57d0
Event: 24.975 Thread 0x00000000161c5000 flushing nmethod 0x00000000031d63d0
Event: 24.975 Thread 0x00000000161c5000 flushing nmethod 0x00000000031daf50
Event: 24.975 Thread 0x00000000161c5000 flushing nmethod 0x00000000031e9390
Event: 24.975 Thread 0x00000000161c5000 flushing nmethod 0x00000000031ef110
Event: 24.975 Thread 0x00000000161c5000 flushing nmethod 0x00000000032071d0

Dynamic libraries:
0x00007ff6d9640000 - 0x00007ff6d9677000 E:\Java\jdk\bin\java.exe
0x00007ffd4b760000 - 0x00007ffd4b950000 C:\Windows\SYSTEM32\ntdll.dll
0x00007ffd49810000 - 0x00007ffd498c2000 C:\Windows\System32\KERNEL32.DLL
0x00007ffd487d0000 - 0x00007ffd48a75000 C:\Windows\System32\KERNELBASE.dll
0x00007ffd4a070000 - 0x00007ffd4a113000 C:\Windows\System32\ADVAPI32.dll
0x00007ffd4a1d0000 - 0x00007ffd4a26e000 C:\Windows\System32\msvcrt.dll
0x00007ffd49fd0000 - 0x00007ffd4a067000 C:\Windows\System32\sechost.dll
0x00007ffd49a70000 - 0x00007ffd49b8f000 C:\Windows\System32\RPCRT4.dll
0x00007ffd4b000000 - 0x00007ffd4b194000 C:\Windows\System32\USER32.dll
0x00007ffd48d20000 - 0x00007ffd48d41000 C:\Windows\System32\win32u.dll
0x00007ffd49ea0000 - 0x00007ffd49ec6000 C:\Windows\System32\GDI32.dll
0x00007ffd48a80000 - 0x00007ffd48c18000 C:\Windows\System32\gdi32full.dll
0x00007ffd48e30000 - 0x00007ffd48ece000 C:\Windows\System32\msvcp_win.dll
0x00007ffd486d0000 - 0x00007ffd487ca000 C:\Windows\System32\ucrtbase.dll
0x00007ffd47b00000 - 0x00007ffd47d84000 C:\Windows\WinSxS\amd64_microsoft.windows.common-controls_6595b64144ccf1df_6.0.18362.1556_none_9e7e372fe45e41d5\COMCTL32.dll
0x00007ffd4aa50000 - 0x00007ffd4ad86000 C:\Windows\System32\combase.dll
0x00007ffd48c20000 - 0x00007ffd48ca1000 C:\Windows\System32\bcryptPrimitives.dll
0x00007ffd49fa0000 - 0x00007ffd49fce000 C:\Windows\System32\IMM32.DLL
0x000000006fb00000 - 0x000000006fbd2000 E:\Java\jdk\jre\bin\msvcr100.dll
0x000000006f260000 - 0x000000006fafa000 E:\Java\jdk\jre\bin\server\jvm.dll
0x00007ffd49a00000 - 0x00007ffd49a08000 C:\Windows\System32\PSAPI.DLL
0x00007ffd33e00000 - 0x00007ffd33e09000 C:\Windows\SYSTEM32\WSOCK32.dll
0x00007ffd460f0000 - 0x00007ffd46114000 C:\Windows\SYSTEM32\WINMM.dll
0x00007ffd42500000 - 0x00007ffd4250a000 C:\Windows\SYSTEM32\VERSION.dll
0x00007ffd4b6b0000 - 0x00007ffd4b71f000 C:\Windows\System32\WS2_32.dll
0x00007ffd46090000 - 0x00007ffd460bd000 C:\Windows\SYSTEM32\winmmbase.dll
0x00007ffd48cb0000 - 0x00007ffd48cfa000 C:\Windows\System32\cfgmgr32.dll
0x000000006f250000 - 0x000000006f25f000 E:\Java\jdk\jre\bin\verify.dll
0x000000006f220000 - 0x000000006f249000 E:\Java\jdk\jre\bin\java.dll
0x000000006f180000 - 0x000000006f1a3000 E:\Java\jdk\jre\bin\instrument.dll
0x000000006f200000 - 0x000000006f216000 E:\Java\jdk\jre\bin\zip.dll
0x00007ffd4a360000 - 0x00007ffd4aa47000 C:\Windows\System32\SHELL32.dll
0x00007ffd4a120000 - 0x00007ffd4a1c8000 C:\Windows\System32\shcore.dll
0x00007ffd48ed0000 - 0x00007ffd4964b000 C:\Windows\System32\windows.storage.dll
0x00007ffd486b0000 - 0x00007ffd486ce000 C:\Windows\System32\profapi.dll
0x00007ffd48640000 - 0x00007ffd4868a000 C:\Windows\System32\powrprof.dll
0x00007ffd48610000 - 0x00007ffd48620000 C:\Windows\System32\UMPDC.dll
0x00007ffd4a300000 - 0x00007ffd4a352000 C:\Windows\System32\shlwapi.dll
0x00007ffd48620000 - 0x00007ffd48631000 C:\Windows\System32\kernel.appcore.dll
0x00007ffd48d00000 - 0x00007ffd48d17000 C:\Windows\System32\cryptsp.dll
0x00007ffd35350000 - 0x00007ffd3536a000 D:\develop\ideaIU2020.1\bin\breakgen64.dll
0x000000006f1e0000 - 0x000000006f1fa000 E:\Java\jdk\jre\bin\net.dll
0x00007ffd47940000 - 0x00007ffd479a7000 C:\Windows\system32\mswsock.dll
0x000000006f160000 - 0x000000006f16d000 E:\Java\jdk\jre\bin\management.dll
0x00007ffd31630000 - 0x00007ffd31646000 C:\Windows\system32\napinsp.dll
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VM Arguments:
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java_command: com.intellij.rt.junit.JUnitStarter -ideVersion5 -junit4 com.lx.security.ocr.OcrTest
java_class_path (initial): D:\develop\ideaIU2020.1\lib\idea_rt.jar;D:\develop\ideaIU2020.1\plugins\junit\lib\junit5-rt.jar;D:\develop\ideaIU2020.1\plugins\junit\lib\junit-rt.jar;E:\Java\jdk\jre\lib\charsets.jar;E:\Java\jdk\jre\lib\deploy.jar;E:\Java\jdk\jre\lib\ext\access-bridge-64.jar;E:\Java\jdk\jre\lib\ext\cldrdata.jar;E:\Java\jdk\jre\lib\ext\dnsns.jar;E:\Java\jdk\jre\lib\ext\jaccess.jar;E:\Java\jdk\jre\lib\ext\javax.el-3.0.0.jar;E:\Java\jdk\jre\lib\ext\jfxrt.jar;E:\Java\jdk\jre\lib\ext\localedata.jar;E:\Java\jdk\jre\lib\ext\nashorn.jar;E:\Java\jdk\jre\lib\ext\sunec.jar;E:\Java\jdk\jre\lib\ext\sunjce_provider.jar;E:\Java\jdk\jre\lib\ext\sunmscapi.jar;E:\Java\jdk\jre\lib\ext\sunpkcs11.jar;E:\Java\jdk\jre\lib\ext\zipfs.jar;E:\Java\jdk\jre\lib\javaws.jar;E:\Java\jdk\jre\lib\jce.jar;E:\Java\jdk\jre\lib\jfr.jar;E:\Java\jdk\jre\lib\jfxswt.jar;E:\Java\jdk\jre\lib\jsse.jar;E:\Java\jdk\jre\lib\management-agent.jar;E:\Java\jdk\jre\lib\plugin.jar;E:\Java\jdk\jre\lib\resources.jar;E:\Java\jdk\jre\lib\rt.jar;E:\workspace\ocr_sdk\target\test-classes;E:\workspace\ocr_sdk\target\classes;C:\Users\Administrator.m2\repository\commons-cli\commons-cli\1.4\commons-cli-1.4.jar;C:\Users\Administrator.m2\repository\cn\hutool\hutool-core\5.7.13\hutool-core-5.7.13.jar;C:\Users\Administrator.m2\repository\com\google\code\gson\gson\2.8.5\gson-2.8.5.jar;C:\Users\Administrator.m2\repository\ai\djl\api\0.16.0\api-0.16.0.jar;C:\Users\Administrator.m2\repository\net\java\dev\jna\jna\5.10.0\jna-5.10.0.jar;C:\Users\Administrator.m2\repository\org\apache\commons\commons-compress\1.21\commons-compress-1.21.jar;C:\Users\Administrator.m2\repository\org\slf4j\slf4j-api\1.7.36\slf4j-api-1.7.36.jar;C:\Users\Administrator.m2\repository\ai\djl\basicdataset\0.16.0\basicdataset-0.16.0.jar;C:\Users\Administrator.m2\repository\org\apache\commons\commons-csv\1.9.0\commons-csv-1.9.0.jar;C:\Users\Administrator.m2\repository\ai\djl\model-zoo\0.16.0\model-zoo-0.16.0.jar;C:\Users\Administrator.m2\reposit
Launcher Type: SUN_STANDARD

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USERNAME=Administrator
OS=Windows_NT
PROCESSOR_IDENTIFIER=Intel64 Family 6 Model 165 Stepping 3, GenuineIntel

--------------- S Y S T E M ---------------

OS: Windows 10.0 , 64 bit Build 18362 (10.0.18362.1500)

CPU:total 12 (6 cores per cpu, 2 threads per core) family 6 model 165 stepping 3, cmov, cx8, fxsr, mmx, sse, sse2, sse3, ssse3, sse4.1, sse4.2, popcnt, avx, avx2, aes, clmul, erms, 3dnowpref, lzcnt, ht, tsc, tscinvbit, bmi1, bmi2, adx

Memory: 4k page, physical 16713744k(5255464k free), swap 36191376k(5161300k free)

vm_info: Java HotSpot(TM) 64-Bit Server VM (25.111-b14) for windows-amd64 JRE (1.8.0_111-b14), built on Sep 22 2016 19:24:05 by "java_re" with MS VC++ 10.0 (VS2010)

time: Sat Apr 09 20:09:56 2022
elapsed time: 25 seconds (0d 0h 0m 25s)

how to enable mkldnn on paddle engine

Description

I tried .optOptions(Collections.singletonMap("enableMKLDNN", "true")) to create Criteria and find the options of PpModel added indeead, but it did not work. how to fix this?

Expected Behavior

enable mkldnn on paddle engine

Environment Info

os.name: Windows 10 amd64

------------------ CUDA -----------------
[DEBUG] - No cudart library found in path.
GPU Count: 0

----------------- Engines ---------------
DJL version: 0.18.0
Default Engine: MXNet
[DEBUG] - Using cache dir: C:\Users\CRH\.djl.ai\mxnet\1.9.0-mkl-win-x86_64
[INFO ] - Downloading libgcc_s_seh-1.dll ...
[INFO ] - Downloading libgfortran-3.dll ...
[INFO ] - Downloading libopenblas.dll ...
[INFO ] - Downloading libquadmath-0.dll ...
[INFO ] - Downloading mxnet.dll ...
[DEBUG] - Loading mxnet library from: C:\Users\CRH\.djl.ai\mxnet\1.9.0-mkl-win-x86_64\mxnet.dll
Default Device: cpu()
PyTorch: 2
MXNet: 0
XGBoost: 10
TensorFlow: 3

英文模型运行后 抛出java.lang.IndexOutOfBoundsException: Index 96 out of bounds for length 96

系统环境: win11/jdk17/idea2022
djl环境: djl系列模块 版本 0.22.1
模型: 官方的英文 en_PP-OCRv3 检测和识别模型(https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/models_list_en.md)
模型转换: 按本项目引导成功转换成onnx模型,在转换检测模型时,预先用paddle_infer_shape.py模块对检测模型的shape进行修改,关键修改参数设置为:--input_shape_dict="{'x':[-1,3,-1,-1]},然后再转换模型,并成功转换成onnx格式
应用字典(ppocr_keys_v1.txt): 官方的ppocr_keys_v1.txt,但识别出来的是乱码,后改为en_dict.txt,含95个字符的字典 (https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppocr/utils/en_dict.txt)

测试模型(en_dict.txt中的字符作为字典内容),识别一张全英文图片,抛出异常java.lang.IndexOutOfBoundsException: Index 96 out of bounds for length 96。是不是在修改检测模型shape时参数设置错误?或者字典选择错误?好像其它地方都没有太多疑问,因为运行项目中的ch_PP-OCRv3_rec_infer_onnx模型是正常的。恳请老师帮我拨开云雾,再次感谢老师的无私杰出奉献。
核心错误信息如下:

Caused by: ai.djl.translate.TranslateException: java.lang.IndexOutOfBoundsException: Index 96 out of bounds for length 96
	at ai.djl.inference.Predictor.batchPredict(Predictor.java:191)
	at ai.djl.inference.Predictor.predict(Predictor.java:128)
	at com.aias.paddleOCR.recognition.OcrV3Recognition.predict(OcrV3Recognition.java:95)
Caused by: java.lang.IndexOutOfBoundsException: Index 96 out of bounds for length 96
	at java.base/jdk.internal.util.Preconditions.outOfBounds(Preconditions.java:64)
	at java.base/jdk.internal.util.Preconditions.outOfBoundsCheckIndex(Preconditions.java:70)
	at java.base/jdk.internal.util.Preconditions.checkIndex(Preconditions.java:266)
	at java.base/java.util.Objects.checkIndex(Objects.java:359)
	at java.base/java.util.ArrayList.get(ArrayList.java:427)
	at com.aias.paddleOCR.recognition.PpWordRecognitionTranslator.processOutput(PpWordRecognitionTranslator.java:70)
	at com.aias.paddleOCR.recognition.PpWordRecognitionTranslator.processOutput(PpWordRecognitionTranslator.java:22)
	at ai.djl.inference.Predictor.batchPredict(Predictor.java:172)

视频流检测问题

问题:使用demo测试发现涉及到视频流检测的,会报错如下:

Exception in thread "main" java.lang.ExceptionInInitializerError
at ai.djl.paddlepaddle.engine.PpEngine.newBaseManager(PpEngine.java:110)
at ai.djl.paddlepaddle.engine.PpEngine.newModel(PpEngine.java:92)
at ai.djl.Model.newInstance(Model.java:98)
at ai.djl.repository.zoo.BaseModelLoader.createModel(BaseModelLoader.java:187)
at ai.djl.repository.zoo.BaseModelLoader.loadModel(BaseModelLoader.java:149)
at ai.djl.repository.zoo.Criteria.loadModel(Criteria.java:166)
at ai.djl.repository.zoo.ModelZoo.loadModel(ModelZoo.java:132)
at me.aias.example.RtspFaceMaskDetectionExample.faceMaskDetection(RtspFaceMaskDetectionExample.java:108)
at me.aias.example.RtspFaceMaskDetectionExample.main(RtspFaceMaskDetectionExample.java:45)
Caused by: ai.djl.engine.EngineException: Failed to load PyTorch native library
at ai.djl.pytorch.engine.PtEngine.newInstance(PtEngine.java:81)
at ai.djl.pytorch.engine.PtEngineProvider.getEngine(PtEngineProvider.java:40)
at ai.djl.engine.Engine.getEngine(Engine.java:177)
at ai.djl.engine.Engine.getInstance(Engine.java:132)
at ai.djl.paddlepaddle.engine.PpEngine.getAlternativeEngine(PpEngine.java:54)
at ai.djl.ndarray.BaseNDManager.(BaseNDManager.java:57)
at ai.djl.paddlepaddle.engine.PpNDManager.(PpNDManager.java:33)
at ai.djl.paddlepaddle.engine.PpNDManager.(PpNDManager.java:28)
at ai.djl.paddlepaddle.engine.PpNDManager$SystemManager.(PpNDManager.java:115)
at ai.djl.paddlepaddle.engine.PpNDManager.(PpNDManager.java:30)
... 9 more
Caused by: java.lang.UnsatisfiedLinkError: C:\Users\Administrator.djl.ai\pytorch\1.11.0-cu113-win-x86_64\cudnn_cnn_train64_8.dll: 找不到指定的程序

其他模型运行没问题,用dll工具查看此dll也没有依赖错误信息,此dll也是存在的

使用paddleocr训练的DB++算法的文本检测模型,报错如下

I0423 17:05:06.850246 10772 analysis_predictor.cc:714] ======= optimize end =======
I0423 17:05:06.851260 10772 naive_executor.cc:98] --- skip [feed], feed -> x
I0423 17:05:06.860247 10772 naive_executor.cc:98] --- skip [sigmoid_17.tmp_0], fetch -> fetch
I0423 17:05:06.872246 10772 naive_executor.cc:98] --- skip [feed], feed -> x
I0423 17:05:06.882247 10772 naive_executor.cc:98] --- skip [sigmoid_17.tmp_0], fetch -> fetch
Exception in thread "main" ai.djl.translate.TranslateException: java.lang.IllegalArgumentException: need at least one array to stack
at ai.djl.inference.Predictor.batchPredict(Predictor.java:187)
at ai.djl.inference.Predictor.predict(Predictor.java:124)
at me.aias.example.OcrV3DetectionExample.main(OcrV3DetectionExample.java:47)
Caused by: java.lang.IllegalArgumentException: need at least one array to stack
at ai.djl.util.Preconditions.checkArgument(Preconditions.java:31)
at ai.djl.ndarray.NDArrays.stack(NDArrays.java:1822)
at ai.djl.ndarray.NDArrays.stack(NDArrays.java:1784)
at me.aias.example.utils.detection.OCRDetectionTranslator.boxes_from_bitmap(OCRDetectionTranslator.java:277)
at me.aias.example.utils.detection.OCRDetectionTranslator.processOutput(OCRDetectionTranslator.java:110)
at me.aias.example.utils.detection.OCRDetectionTranslator.processOutput(OCRDetectionTranslator.java:27)
at ai.djl.inference.Predictor.batchPredict(Predictor.java:168)
... 2 more

Process finished with exit code 1

请问是不支持文本检测算法DB++吗?如果支持的话,请问上面这个错误是什么原因。如果不支持的话,请问是否有支持DB++算法的计划,如果有计划大概是什么时候,如果不准备支持,那么可以指导下从哪里下手改吗

似乎不支持树莓派等嵌入式设备

使用的64位系统报错:
[INFO ] - Paddle MKL/GPU requires user to set LD_LIBRARY_PATH=/home/ming/.djl.ai/paddle/2.2.2-cpu-linux-aarch64, the current one is set to: null
Exception in thread "main" java.lang.UnsatisfiedLinkError: /home/ming/.djl.ai/paddle/2.2.2-cpu-linux-aarch64/libpaddle_inference.so: /home/ming/.djl.ai/paddle/2.2.2-cpu-linux-aarch64/libpaddle_inference.so: cannot open shared object file: No such file or directory (Possible cause: can't load AMD 64-bit .so on a AARCH64-bit platform)

32位报错paddle的库是64的 32位不能用

能否提供一个使用onnx-engine或者pytorch引擎运行onnx模型的案例

paddlepaddle-engine
你好,你提供的asr_sdk使用的是paddlepaddle-engine运行

        <!-- PaddlePaddle -->
        <dependency>
            <groupId>ai.djl.paddlepaddle</groupId>
            <artifactId>paddlepaddle-engine</artifactId>
            <version>${djl.version}</version>
        </dependency>
package me.aias.example.utils;

import ai.djl.Device;
import ai.djl.ndarray.NDArray;
import ai.djl.repository.zoo.Criteria;
import ai.djl.training.util.ProgressBar;
import org.apache.commons.lang3.tuple.Pair;
import java.nio.file.Path;
import java.nio.file.Paths;
/**
 *
 * @author Calvin
 *
 * @email [email protected]
 **/

public class SpeechRecognition {
  public SpeechRecognition() {}

  public Criteria<NDArray, Pair> criteria() {
    Criteria<NDArray, Pair> criteria =
        Criteria.builder()
            .setTypes(NDArray.class, Pair.class)
            .optModelPath(Paths.get("models/deep_speech.zip"))
            .optTranslator(new AudioTranslator())
            .optEngine("PaddlePaddle") // Use PaddlePaddle engine
            
            .optProgress(new ProgressBar())
            .build();

    return criteria;
  }
}

能否提供一个使用onnx-engine或者pytorch引擎运行onnx模型的案例
1.将paddle模型转为onnx模型
2.使用使用onnx-engine或者pytorch引擎运行onnx模型

图片识别区域重叠,内容会重复输出

OcrV3RecognitionExample识别图片的区域会有重叠,内容会重复输出。
[INFO ] - [ {"class": "石Φ", "probability": -1.0e+00, "bounds": {"x"=0.860, "y"=0.181, "width"=0.081, "height"=0.075}} {"class": "1.类型:白麻花岗岩车止石 Φ", "probability": -1.0e+00, "bounds": {"x"=0.037, "y"=0.188, "width"=0.805, "height"=0.075}} {"class": "250 X 680", "probability": -1.0e+00, "bounds": {"x"=0.035, "y"=0.494, "width"=0.257, "height"=0.069}} {"class": "2.规格、型号:C15砼基座", "probability": -1.0e+00, "bounds": {"x"=0.035, "y"=0.781, "width"=0.763, "height"=0.075}} ]
cells
ocr_result

会有警告信息,是否版本过低导致?

在运行OcrV3RecognitionExample实例时会提示警告信息,后面是否会做迭代更新?
警告信息如下:
[W LegacyTypeDispatch.h:79] Warning: AutoNonVariableTypeMode is deprecated and will be removed in 1.10 release. For kernel implementations please use AutoDispatchBelowADInplaceOrView instead, If you are looking for a user facing API to enable running your inference-only workload, please use c10::InferenceMode. Using AutoDispatchBelowADInplaceOrView in user code is under risk of producing silent wrong result in some edge cases. See Note [AutoDispatchBelowAutograd] for more details. (function operator ())

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