Subject | Hash | Author | Date (UTC) |
---|---|---|---|
ccnn baseline | f02c3084f28f811879e36e9a309993d468535dc3 | Thai Thien | 2020-12-06 15:08:11 |
ccnn shb and sha | d1d4152ada2c5dfc18c65299f32cb12935b90fe4 | Thai Thien | 2020-12-06 14:46:36 |
sha | 3196ece275027e4d032a0bddb84ce310c15f2380 | Thai Thien | 2020-12-06 13:46:28 |
abs clamp | 524c6f7196908527367ddcbfc340107e4092cc6e | Thai Thien | 2020-12-06 11:16:12 |
use abs instead of ssim | 92226d63c9732e66bf50f0b78e61f915ad2bce77 | Thai Thien | 2020-12-06 10:56:56 |
claim both y and y_pred | d1f6764a691fc2f2f1adc63ae65d63a8347d8a45 | Thai Thien | 2020-12-06 10:52:14 |
clamp 0.0 | 5569f7dad3c9e792e65636bb29b66a84ff250282 | Thai Thien | 2020-12-06 10:46:57 |
dataloader target crop | e41c17147de7c05f213329009c7662fbb2f1dc91 | Thai Thien | 2020-12-06 10:43:12 |
clamp min = 0 | 5245898e5282aa4cdc4b6539e68cb36a1c2d0c1f | Thai Thien | 2020-12-06 10:40:47 |
fix metric | 9739b99b836657377eb9dce05fafeef4a90546e9 | Thai Thien | 2020-12-06 10:38:37 |
eval density | d02232a419cd22bc79e0325c1c6791a7e5fc15b0 | Thai Thien | 2020-12-06 10:37:22 |
. | 926498e13908770b072aeca0ccecbf5d3a64808e | Thai Thien | 2020-12-06 10:27:13 |
if self.dataset_name == "shanghaitech_non_overlap_test_with_densitygt" and not self.train: | ca2bf6f9372ccdd5b880f2dd7be2023840afdd1d | Thai Thien | 2020-12-06 10:24:21 |
yeah forgot to change ds name | bfdf3cfe27be5f51de300e231b6b79f903a71624 | Thai Thien | 2020-12-06 10:17:37 |
eval_only mode should not save | bf03ec80b43e070501c043f7428d55d8409b960c | Thai Thien | 2020-12-06 10:14:22 |
now we output density map for testing | fb1f9f1c8abeb2311f0637db5f7b4c4ca4b43810 | Thai Thien | 2020-12-06 10:12:01 |
predict | 8a312e6bcbe7a8b726cf1a01497db09bc21fea51 | Thai Thien | 2020-12-06 09:57:58 |
go ssim and psnr | d9b0d9c0417835c51ea59c66d85b8821480d0357 | Thai Thien | 2020-12-06 09:36:21 |
t4 | 624c9948c2099f16bd66f30a0c18093367b8a113 | Thai Thien | 2020-12-06 03:59:20 |
adamw1_ccnnv7_t3_bike | 944e85901a2c22fd09f771cd1dd295f5a0ead80b | Thai Thien | 2020-12-06 03:51:57 |
File | Lines added | Lines deleted |
---|---|---|
predict_script/dccnn/ccnn_sha.sh | 3 | 3 |
File predict_script/dccnn/ccnn_sha.sh changed (mode: 100644) (index 5ad319f..44c299b) | |||
1 | task="eval_g1_ccnn_v7_t3_shb" | ||
1 | task="eval_ccnn_v7_t13_sha" | ||
2 | 2 | # HTTPS_PROXY="http://10.60.28.99:86" | # HTTPS_PROXY="http://10.60.28.99:86" |
3 | 3 | CUDA_VISIBLE_DEVICES=0 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | CUDA_VISIBLE_DEVICES=0 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ |
4 | 4 | --task_id $task \ | --task_id $task \ |
5 | --note "eval dccnn g1_ccnn_v7_t3_shb" \ | ||
5 | --note "eval dccnn ccnn_v7_t13_sha" \ | ||
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |
7 | --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_B \ | ||
7 | --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_A \ | ||
8 | 8 | --eval_only \ | --eval_only \ |
9 | 9 | --batch_size 1 \ | --batch_size 1 \ |
10 | 10 | --load_model /data/rnd/thient/crowd_counting_framework/saved_model_best/ccnn_v7_t13_sha/ccnn_v7_t13_sha_checkpoint_valid_mae=-129.1966761271159.pth \ | --load_model /data/rnd/thient/crowd_counting_framework/saved_model_best/ccnn_v7_t13_sha/ccnn_v7_t13_sha_checkpoint_valid_mae=-129.1966761271159.pth \ |