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To get help from the community, we encourage using Stack Overflow and the tensorflow.js tag.
TensorFlow.js version: 2.3.0
tfjs-wechat plugin version: 0.1.0
WeChat version: 7.0.18
WeChat base API version: 2.10.1
WeChat IDE version: 1.03.2006090
Describe the problem or feature request
same input, in devtools work perfectly,but in android device ,the output is incorrect
for example, in devtools,the output is [[[23.666297912597656,921.23193359375,183.60040283203125,927.2606201171875],[15.292533874511719,1537.2786865234375,183.01553344726562,1543.4986572265625],[0.27048492431640625,305.4588928222656,183.98831176757812,312.1147766113281],[1.2694244384765625,1384.604248046875,186.19090270996094,1390.690185546875],[5.957794189453125,1064.868408203125,182.96878051757812,1071.165771484375],[11.017524719238281,224.19439697265625,185.01129150390625,230.95016479492188],[7.940696716308594,953.9198608398438,184.24075317382812,960.0391235351562],[6.575469970703125,688.0530395507812,184.0544891357422,694.9642944335938],[12.370758056640625,138.0717010498047,185.07872009277344,143.78099060058594],[11.984046936035156,832.9068603515625,181.735107421875,838.4112548828125],[0,1473.8946533203125,184.7564697265625,1480.3912353515625],[5.432441711425781,1233.8905029296875,183.02520751953125,1240.6072998046875],[8.294059753417969,795.270263671875,183.12899780273438,801.340087890625],[4.284919738769531,986.360107421875,175.13046264648438,992.528564453125],[16.285057067871094,599.8233642578125,182.50344848632812,606.190673828125],[4.934089660644531,1154.9400634765625,184.24420166015625,1161.1971435546875],[2.3918609619140625,406.9335021972656,181.7635955810547,413.1664123535156],[0.7287826538085938,1411.01318359375,182.46786499023438,1417.558349609375],[8.268196105957031,1626.1695556640625,183.573486328125,1631.8653564453125],[5.026954650878906,1737.0159912109375,186.707763671875,1745.3245849609375],[11.749588012695312,1727.8089599609375,184.548583984375,1736.1741943359375],[39.124656677246094,1713.540771484375,181.75552368164062,1718.755615234375],[20.725425720214844,10.743600845336914,204.57266235351562,16.622875213623047],[0,1310.3511962890625,185.74510192871094,1316.6363525390625],[7.2787017822265625,507.96319580078125,183.15560913085938,513.7721557617188],[7.469696044921875,1658.9466552734375,183.41920471191406,1671.5430908203125]]]
but in android device,the output is [[[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438]]]
Code to reproduce the bug / link to feature request var result = await model.executeAsync({'image_arrays:0':batched},['detections:0']); result = tf.slice(result,[0,0,1],[1,-1,4]);
The text was updated successfully, but these errors were encountered:
airqj
changed the title
devtools works perfectly, but in device did'not work
same input, devtools works perfectly, but in device did'not work
Aug 24, 2020
airqj
changed the title
same input, devtools works perfectly, but in device did'not work
same input, devtools works perfectly, but in device did not work
Aug 24, 2020
The output looks like all the same value, can you verify if the inputs are correct on the device?
the input is a png file on remote server.
when set backend to cpu, the output on devtool and device is identical. and it is correct.
my model is trained custom data based on efficientdet
To get help from the community, we encourage using Stack Overflow and the tensorflow.js tag.
TensorFlow.js version: 2.3.0
tfjs-wechat plugin version: 0.1.0
WeChat version: 7.0.18
WeChat base API version: 2.10.1
WeChat IDE version: 1.03.2006090
Describe the problem or feature request
same input, in devtools work perfectly,but in android device ,the output is incorrect
for example, in devtools,the output is
[[[23.666297912597656,921.23193359375,183.60040283203125,927.2606201171875],[15.292533874511719,1537.2786865234375,183.01553344726562,1543.4986572265625],[0.27048492431640625,305.4588928222656,183.98831176757812,312.1147766113281],[1.2694244384765625,1384.604248046875,186.19090270996094,1390.690185546875],[5.957794189453125,1064.868408203125,182.96878051757812,1071.165771484375],[11.017524719238281,224.19439697265625,185.01129150390625,230.95016479492188],[7.940696716308594,953.9198608398438,184.24075317382812,960.0391235351562],[6.575469970703125,688.0530395507812,184.0544891357422,694.9642944335938],[12.370758056640625,138.0717010498047,185.07872009277344,143.78099060058594],[11.984046936035156,832.9068603515625,181.735107421875,838.4112548828125],[0,1473.8946533203125,184.7564697265625,1480.3912353515625],[5.432441711425781,1233.8905029296875,183.02520751953125,1240.6072998046875],[8.294059753417969,795.270263671875,183.12899780273438,801.340087890625],[4.284919738769531,986.360107421875,175.13046264648438,992.528564453125],[16.285057067871094,599.8233642578125,182.50344848632812,606.190673828125],[4.934089660644531,1154.9400634765625,184.24420166015625,1161.1971435546875],[2.3918609619140625,406.9335021972656,181.7635955810547,413.1664123535156],[0.7287826538085938,1411.01318359375,182.46786499023438,1417.558349609375],[8.268196105957031,1626.1695556640625,183.573486328125,1631.8653564453125],[5.026954650878906,1737.0159912109375,186.707763671875,1745.3245849609375],[11.749588012695312,1727.8089599609375,184.548583984375,1736.1741943359375],[39.124656677246094,1713.540771484375,181.75552368164062,1718.755615234375],[20.725425720214844,10.743600845336914,204.57266235351562,16.622875213623047],[0,1310.3511962890625,185.74510192871094,1316.6363525390625],[7.2787017822265625,507.96319580078125,183.15560913085938,513.7721557617188],[7.469696044921875,1658.9466552734375,183.41920471191406,1671.5430908203125]]]
but in android device,the output is
[[[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438],[51.03124237060547,950.5,126.74998474121094,954.9999389648438]]]
Code to reproduce the bug / link to feature request
var result = await model.executeAsync({'image_arrays:0':batched},['detections:0']); result = tf.slice(result,[0,0,1],[1,-1,4]);
The text was updated successfully, but these errors were encountered: