Delete models/v2xset/heterogeneous/source_result.txt

models/v2xset/heterogeneous/source_result.txt

@@ -1,54 +0,0 @@
-modal 0 _lidaronly | Epoch: 23 | AP @0.3: 0.8632 | AP @0.5: 0.8345 | AP @0.7: 0.6813 | comm_rate: 0.018577 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2726
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7388 | AP @0.5: 0.6831 | AP @0.7: 0.4769 | comm_rate: 0.018859 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5595
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.4781 | AP @0.5: 0.3834 | AP @0.7: 0.2102 | comm_rate: 0.035714 | comm_volume_MB: 1.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8429
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.4781 | AP @0.5: 0.3834 | AP @0.7: 0.2102 | comm_rate: 0.035714 | comm_volume_MB: 1.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8418
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.4718 | AP @0.5: 0.3776 | AP @0.7: 0.2094 | comm_rate: 0.017857 | comm_volume_MB: 0.5000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8404
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.4555 | AP @0.5: 0.3648 | AP @0.7: 0.2006 | comm_rate: 0.008929 | comm_volume_MB: 0.2500 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8336
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.4309 | AP @0.5: 0.3432 | AP @0.7: 0.1789 | comm_rate: 0.004464 | comm_volume_MB: 0.1250 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8379
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.4090 | AP @0.5: 0.3238 | AP @0.7: 0.1592 | comm_rate: 0.002232 | comm_volume_MB: 0.0625 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8396
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.3846 | AP @0.5: 0.3023 | AP @0.7: 0.1400 | comm_rate: 0.001116 | comm_volume_MB: 0.0312 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8384
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.3602 | AP @0.5: 0.2774 | AP @0.7: 0.1224 | comm_rate: 0.000558 | comm_volume_MB: 0.0156 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8376
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.3390 | AP @0.5: 0.2575 | AP @0.7: 0.1130 | comm_rate: 0.000279 | comm_volume_MB: 0.0078 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8334
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.3253 | AP @0.5: 0.2443 | AP @0.7: 0.1078 | comm_rate: 0.000140 | comm_volume_MB: 0.0039 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8359
-modal 1 _camonly | Epoch: 23 | AP @0.3: 0.3154 | AP @0.5: 0.2358 | AP @0.7: 0.1050 | comm_rate: 0.000070 | comm_volume_MB: 0.0020 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8357
-####################以下modal 4 ego_random_ratio0.5中的modal 4并没有正确分配模态，因为inference.py中没有针对v2xset数据分类#####################################
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7466 | AP @0.5: 0.6895 | AP @0.7: 0.4795 | comm_rate: 0.062500 | comm_volume_MB: 1.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 1.0306
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7432 | AP @0.5: 0.6869 | AP @0.7: 0.4791 | comm_rate: 0.031250 | comm_volume_MB: 0.5000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.9508
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7268 | AP @0.5: 0.6711 | AP @0.7: 0.4663 | comm_rate: 0.015625 | comm_volume_MB: 0.2500 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8660
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.6852 | AP @0.5: 0.6281 | AP @0.7: 0.4343 | comm_rate: 0.007812 | comm_volume_MB: 0.1250 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8648
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.6517 | AP @0.5: 0.5910 | AP @0.7: 0.4002 | comm_rate: 0.003906 | comm_volume_MB: 0.0625 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8300
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.6192 | AP @0.5: 0.5542 | AP @0.7: 0.3591 | comm_rate: 0.001953 | comm_volume_MB: 0.0312 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.7394
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.5841 | AP @0.5: 0.5173 | AP @0.7: 0.3204 | comm_rate: 0.000977 | comm_volume_MB: 0.0156 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.7398
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.5533 | AP @0.5: 0.4829 | AP @0.7: 0.2947 | comm_rate: 0.000488 | comm_volume_MB: 0.0078 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.7308
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.5294 | AP @0.5: 0.4568 | AP @0.7: 0.2804 | comm_rate: 0.000244 | comm_volume_MB: 0.0039 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5559
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.5019 | AP @0.5: 0.4284 | AP @0.7: 0.2673 | comm_rate: 0.000000 | comm_volume_MB: 0.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.8532
-####################以上modal 4 ego_random_ratio0.5中的modal 4并没有正确分配模态，因为inference.py中没有针对v2xset数据分类#####################################
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8695 | AP @0.5: 0.8417 | AP @0.7: 0.6855 | comm_rate: 0.125000 | comm_volume_MB: 2.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.6083
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8685 | AP @0.5: 0.8402 | AP @0.7: 0.6855 | comm_rate: 0.062500 | comm_volume_MB: 1.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5146
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8661 | AP @0.5: 0.8378 | AP @0.7: 0.6847 | comm_rate: 0.031250 | comm_volume_MB: 0.5000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2684
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8524 | AP @0.5: 0.8232 | AP @0.7: 0.6690 | comm_rate: 0.015625 | comm_volume_MB: 0.2500 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2654
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8250 | AP @0.5: 0.7917 | AP @0.7: 0.6332 | comm_rate: 0.007812 | comm_volume_MB: 0.1250 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2633
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7980 | AP @0.5: 0.7609 | AP @0.7: 0.5915 | comm_rate: 0.003906 | comm_volume_MB: 0.0625 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2620
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7714 | AP @0.5: 0.7298 | AP @0.7: 0.5487 | comm_rate: 0.001953 | comm_volume_MB: 0.0312 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2600
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7440 | AP @0.5: 0.6995 | AP @0.7: 0.5137 | comm_rate: 0.000977 | comm_volume_MB: 0.0156 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2589
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7175 | AP @0.5: 0.6695 | AP @0.7: 0.4846 | comm_rate: 0.000488 | comm_volume_MB: 0.0078 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2581
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.6970 | AP @0.5: 0.6470 | AP @0.7: 0.4684 | comm_rate: 0.000244 | comm_volume_MB: 0.0039 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2572
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.6761 | AP @0.5: 0.6253 | AP @0.7: 0.4547 | comm_rate: 0.000000 | comm_volume_MB: 0.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2561
-
-#############deadline = 100ms################
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7921 | AP @0.5: 0.7540 | AP @0.7: 0.5829 | comm_rate: 0.003886 | BW_range: (1, 10) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2698
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8465 | AP @0.5: 0.8161 | AP @0.7: 0.6607 | comm_rate: 0.014104 | BW_range: (10, 30) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.4810
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8650 | AP @0.5: 0.8366 | AP @0.7: 0.6838 | comm_rate: 0.028167 | BW_range: (30, 50) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5036
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8680 | AP @0.5: 0.8398 | AP @0.7: 0.6850 | comm_rate: 0.052839 | BW_range: (50, 100) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.4895
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8690 | AP @0.5: 0.8411 | AP @0.7: 0.6859 | comm_rate: 0.105679 | BW_range: (100, 200) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.4557
-
-#############deadline = 50ms################
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7605 | AP @0.5: 0.7181 | AP @0.7: 0.5353 | comm_rate: 0.001727 | BW_range: (1, 10) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.4685
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8142 | AP @0.5: 0.7796 | AP @0.7: 0.6175 | comm_rate: 0.006269 | BW_range: (10, 30) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5078
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8435 | AP @0.5: 0.8126 | AP @0.7: 0.6560 | comm_rate: 0.012519 | BW_range: (30, 50) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.4866
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8623 | AP @0.5: 0.8337 | AP @0.7: 0.6809 | comm_rate: 0.023484 | BW_range: (50, 100) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.4209
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8677 | AP @0.5: 0.8394 | AP @0.7: 0.6852 | comm_rate: 0.046968 | BW_range: (100, 200) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.2782
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7606 | AP @0.5: 0.7181 | AP @0.7: 0.5353 | comm_rate: 0.001727 | BW_range: (1, 10) Mbps |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5463
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.8669 | AP @0.5: 0.8386 | AP @0.7: 0.6849 | comm_rate: 0.035714 | comm_volume_MB: 1.0000 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.3038
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7229 | AP @0.5: 0.6757 | AP @0.7: 0.4890 | comm_rate: 0.000557 | comm_volume_MB: 0.0156 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5563
-modal 4 ego_random_ratio0.5 | Epoch: 23 | AP @0.3: 0.7763 | AP @0.5: 0.7355 | AP @0.7: 0.5559 | comm_rate: 0.002232 | comm_volume_MB: 0.0625 |# 102.4,102.4 | # no_noiseno_delay | time_av: 0.5462